If you are struggling with data science 🥵 and always looking for the best resources online, then here’s what you might be doing wrong! 🤔 https://bit.ly/DataScienceBestResources
#📚┊resources
hasty jasper
summer fractal
If you are struggling with data science 🥵 and always looking for the best resou...
Thank you so much for your advice on data science!
worthy sluice
"Time series analysis and forecasting is something that is commonly overlooked in regular ML books, courses, and so on. They typically start with classification, touch upon regression, and then move on. But it is also something that is immensely valuable and ubiquitous in business. As long as time is one of the four dimensions in the world we live in, time series data is all-pervasive."
This is a part of "Modern Time Series Forecasting with Python" book by Manu Joseph. I recently reviewed this book. A fairly complete practical reference from fundamentals to advanced concepts like transformers for time-series forecasting, to quickly mastering time series forecasting use cases for everyone. In this book, using the real-world datasets, you will learn how to handle and visualize time series data using pandas and plotly, generate baseline forecasts using darts, and use machine learning and deep learning for forecasting, using popular Python libraries such as scikit-learn and PyTorch. I would like to share this reference:
https://www.amazon.com/Modern-Time-Forecasting-Python-industry-ready/dp/1803246804#:~:text=This is a comprehensive guide,validation strategies%2C and forecast metrics.
summer fractal
"Time series analysis and forecasting is something that is commonly overlooked i...
Thank you so much for recommending good resources. I got this book and will read this!
magic token
Awesome information. Thank you for sharing.
scenic orchid
"Time series analysis and forecasting is something that is commonly overlooked i...
Hello @worthy sluice Mobius, just curious. If I have a Packt subscription, will I be able to access this book there? I work with timeseries a lot, and wanted to give it a read.
worthy sluice
HI @scenic orchid you can find the options here:
https://www.packtpub.com/product/modern-time-series-forecasting-with-python/9781803246802?utm_source=github&utm_medium=repository&utm_campaign=9781803246802
eager aurora
A great collection of ML courses offered by top universities. > https://github.com/azminewasi/online-ml-university/
hasty jasper
🎥 Adversarial Attacks on Language Models: A Research Unleashing the Dark Side! 👾
How? Watch the video: https://youtu.be/_YHlkpJn3Gc
warped heron
Guys can u recommend me good pandas resources
dapper matrix
Guys can u recommend me good pandas resources
The course provided by kaggle on pandas is really great
You can find that in the learn section
final ice
@everyone every week I share visual resources to understand machine learning concepts. This is the visual resource for the week - Hidden Markov Models - https://www.linkedin.com/posts/bhaskarjitsarmah_mlvisualization-activity-7095980926618247168-IYDj?utm_source=share&utm_medium=member_desktop
please share within your network and follow for more such resources
exotic widget
If you are struggling with data science 🥵 and always looking for the best resou...
Thanks for sharing, it is very helpful!
distant dirge
I am going to leave this one here, as it is one of the most important books in this field. Now, with applications in Python. This book has been made available for free by the authors on its official website. There are also a few courses you can take online on it. Hope you enjoy! https://www.statlearning.com/
final ice
visual understanding of KNN algorithm - https://www.linkedin.com/posts/bhaskarjitsarmah_mlvisualization-activity-7097927601393930242-GWP0?utm_source=share&utm_medium=member_desktop
dapper matrix
Check out this excellent scholarship for students https://medium.com/@anshml/aws-ai-ml-scholarship-program-and-deepracer-517736cb312b
high jetty
A great way to drive traffic/attention/eyeballs to your Kaggle entries is to turn them into HackerNoon.com stories like @dense mason did: https://hackernoon.com/how-likely-was-one-to-survive-on-the-titanic
blazing dune
Check the link to learn more about commonly used neural network libraries.
graceful inlet
clever sandal
I found some interesting papers today about how LLMs are running out of text data to use for training. There is some debate about duplicating data for better performance which is also interesting. But the scale of data that has been used for LLM training so far is mind blowing! Check it out:
vapid socket
Hey guys try out this dataset
The values are generated using random function
I have generated this dataset on my own😅
chrome basin
Dataset regarding airfares of flights in Indian Major cities. Data is sourced from MakeMyTrip booking site. Do check out:
https://www.kaggle.com/datasets/andrewgeorgeissac/flight-price-data-of-indian-cities-makemytrip
uneven rapids
There is currently a hot discussion of what works and what doesnt in imbalanced learning. It might be time people stop pushing smote. Here I link a video of G. Lemaitre author of imbalanced learn from sklearn that shows how it should be done: https://www.kaggle.com/discussions/general/436183
graceful inlet
cloud yoke
My new post on getting started with GANs: https://www.linkedin.com/posts/isham-rashik-5a547711b_generative-adversarial-network-gans-activity-7104092535228104704-0Fuu?utm_source=share&utm_medium=member_desktop
cloud yoke
Do check this new collaborative article: https://shorturl.at/mwyD7
wanton meteor
I like how this channel is used for promoting self blogs
cloud yoke
Hi guys. I hope Everyone is having great day. Please do have look at my collaborative articles. If you guys like it, dont forget to give them reactions
cloud yoke
I like how this channel is used for promoting self blogs
As community, we should help each other to grow.
reef juniper
Hey everyone Please check my new updated Post/Project on my LinkedIn profile. Here is the Post/Project Link: https://www.linkedin.com/posts/jillanisofttech_streamlit-openai-pypdf2-activity-7106970216814829569-RJDb?utm_source=share&utm_medium=member_desktop
Here is my LinkedIn Profile link: https://www.linkedin.com/in/jillanisofttech/
cloud yoke
My idea on how to simplify data cleaning and preprocessing for AI projects: https://shorturl.at/iABT7
blazing estuary
Hey there these are the links to LetsUpgrade's essentials and PGP Full Stack courses.
Click on the below links to enroll now Learn, Build, Share and Grow.
Python Zero to Hero
Start Date: Mon Sep 18 2023
https://letsupgrade.in/programs/essentials-python-programming?invite=PrincePorwal
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Start Date: Mon Sep 11 2023
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fastn Web Dev Expert Certification (3 Days)
Start Date: Mon Aug 28 2023
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free 2-3 days beginner programs
cloud yoke
Hi guys. I have been sharing my posts on certain channels. Many called it self promotional content. But this is not a promotional content. Just my article on A/B Testing. Like how all YouTubers share their knowledge, I try to share my knowledge via posting articles. Hoping it is helpful for everyone. https://www.linkedin.com/posts/isham-rashik-5a547711b_machinelearning-datascience-decisionmaking-activity-7109710963527839744-PWY9?utm_source=share&utm_medium=member_desktop
cloud yoke
Hello community! My collaborative article on the role of Machine Learning Engineer: https://shorturl.at/fhkpP
supple stone
Hi guys. I have been sharing my posts on certain channels. Many called it self p...
👋 Hi @cloud yoke - I learned from one of the Google Advanced Data Analytics Professional Certificate program yesterday that two-sample tests are frequently used for A/B testing. The course helped me connect the dots between statistics and A/B testing which I knew a little and separately. I recommend you go through it if you want to enhance your post by adding technical mechanics on how to conduct the A/B testing in the future. 🤗
cloud yoke
👋 Hi <@1034119430428434492> - I learned from one of the Google Advanced Data An...
Hi @supple stone ! Great to see you hear 😄 For sure I will go through it. Thank you so much 😄
supple stone
Hi <@1000738878971445291> ! Great to see you hear 😄 For sure I will go through ...
Great to see you, too. 🥳
It requires a subscription to Coursera to access the course, but if you want a quick learning, I've incorporated the key learning in the notebook (see the Descriptive Statistics section). You can see an example of how this works. 🤗
cloud yoke
Woooaw! Very crispy explanation. Upvoted and Bookmarked 🔥
mighty tulip
what will LLM-powered software look like in the medium-term future?
https://vishnumenon.com/lightrail/2023/09/17/AI-Interfaces.html
cloud yoke
Good Morning Community! Hope you all having good weekend. Created News Research Tool using Langchain, Faiss and Streamlit: https://www.linkedin.com/posts/isham-rashik-5a547711b_artificialintelligence-machinelearning-deeplearning-activity-7111543562541920256-vLdt?utm_source=share&utm_medium=member_desktop
cloud yoke
Notebook demonstration to show the difference between base, instruct and chat models: https://www.linkedin.com/posts/isham-rashik-5a547711b_comparison-of-base-instruct-and-chat-model-activity-7114118669462306816-EmcK?utm_source=share&utm_medium=member_desktop
upbeat spindle
Hi there ! I start a new job on January and the company has an « intensive » use of Streamlit. The job focuses on data / data analytics (with python).
Can someone give me advice to start working with streamlit (project, interesting tuto…) ?
Thanks !!
supple stone
Good Morning Community! Hope you all having good weekend. Created News Research ...
Hi @cloud yoke - Hope this message finds you well. Please post this kind of post (i.e. data science related, but may not be directly related Kaggle accomplishments) in the #🎉┊celebration channel for better visibility and alignment. Thank you. 🤓
cloud yoke
Hi <@1034119430428434492> - Hope this message finds you well. Please post this k...
suree why not 😄
Just saw the thread. People are posting about their accomplishment though not resources. What I am sharing is resources though
supple stone
Just saw the thread. People are posting about their accomplishment though not re...
Hi @cloud yoke - No problem. Thanks for your response. Also please disregard that what I suggested. I've obtained a clarification that the #📚┊resources includes " links to anything on the web data science related (eg. blog posts or linkedin posts etc)", so you've been posting at the right channel. Sorry for the confusion. 😀
rocky pelican
Combination of websites I used to when starting in DS!
https://www.kaggle.com/discussions/getting-started/444702
jade night
cloud yoke
Good Morning friends. Please do check out my new article on how can you use machine learning to predict air conditioning demand.
https://shorturl.at/noM78
cloud yoke
Demonstration on how to get best high quality summary using GPT-4. Even few months ago it was a big challenge using AI / ML model to get good summary given input text / articles. https://www.linkedin.com/posts/isham-rashik-5a547711b_chain-of-density-cod-prompt-activity-7116549683044323329-ggmG?utm_source=share&utm_medium=member_desktop
cloud yoke
New Course Alert from Stanford University - Stanford CS109 Probability for Computer Scientists - https://www.youtube.com/playlist?list=PLoROMvodv4rOpr_A7B9SriE_iZmkanvUg. More lectures will be published under this playlist in the future.
sharp bough
Heyy folks, any suggestions like tutorials to start working with tensorflow???
autumn crypt
I am very hopeful that I find some very good resources in pinned messages but as someone truly said "Hope lead to disappointment" 😞
There should be pinned message for the good resources.
dark ibex
Yo guys, Who uses notion for programing, learning . If you have clear, quality enriched, your own templates, can you please share) Or can make cooperation
Also you can dm me
compact ice
Hi everyone! I'm excited to share my latest article on the new programming language Mojo. In this article, I cover how to install Mojo on Mac and how to get started with it.
https://medium.com/@erogluegemen/mojo-is-now-available-on-mac-9004f9062e2a
shell dove
Check out this machine learning model training platform - https://power.netmind.ai/
They are providing free compute power during their beta version.
final ice
Line by line implementation of transformer networks, implementation of the original transformer paper - https://www.linkedin.com/feed/update/urn:li:activity:7122474280604348416/
cloud yoke
GPT-3.5 / GPT-4 as Text Translator - https://www.linkedin.com/posts/isham-rashik-5a547711b_machinelearning-artificialintelligence-deeplearning-activity-7124010352425545728-hIMG?utm_source=share&utm_medium=member_desktop
fallow gust
steep bolt
or this which was recently updated https://www.coursera.org/specializations/machine-learning-introduction#testimonials
reef mortar
Which is best data science course to learn the things practically?
sick wing
Which is best data science course to learn the things practically?
Kaggle?
rocky lance
Don't miss this chance to hone and level up your skills in Data Science and Machine Learning for FREE on DataCamp and 365 Data Science :
https://www.kaggle.com/discussions/general/453549
mighty tulip
Access to 200+ AWS skill builder labs for a week through this event registration
https://reinvent.awsevents.com/register
cloud yoke
Check my new post: https://www.linkedin.com/feed/update/urn:li:activity:7138832576072396801/
cloud yoke
Notes on Classical Machine Learning which can be useful for technical interviews: https://www.linkedin.com/feed/update/urn:li:activity:7139922808108736512/
cloud yoke
Tutorial is here for Gemini API 😄 Took me a while to figure out its setup unlike OpenAI API it was challenging! : https://www.linkedin.com/posts/isham-rashik-5a547711b_generativeai-artificialintelligence-largelanguagemodels-activity-7142169807088517120-bhR4?utm_source=share&utm_medium=member_desktop
reef mortar
Hi Everyone. Kindly suggest some good projects for practice Numpy and pandas
languid slate
Hi everyone, Kindly suggest some roadmaps and resources to data science or data analytics
gleaming dome
Hi every one , I started andrew ML specalization course and it is at the end . After this did i can start Kaggle competitions or did i want to study anything .Can anyone suggest me something i am in confusion
reef mortar
Thanks for the reply.
reef juniper
Hey everyone check it out my new blog.
https://jillanisofttech.medium.com/navigating-pythons-2023-voyage-innovations-and-impact-in-tech-659dc47d3934
pale dawn
I recommend this guy, found him randomly while watching cat videos lol
https://www.youtube.com/@adamdhalla1270/featured
good mathematics tutor for deep/machine learning
safe dune
Hello Everyone, I have created a notebook on the main unsupervised clustering algorithms in a very simple way. Please do upvote and give your feedback if you like it - https://www.kaggle.com/code/sandipan001/clustering-explained-k-means-hac-dbscan
reef juniper
Hey everyone today I am recent sharing my new updated blog post please check and share your feedback.
https://medium.com/artificial-intelligence-blocbelt/mastering-the-art-of-prompt-engineering-essential-strategies-for-the-ai-era-9eb2b18864ed
#📚┊resources #🔗┊sharing-projects
modest patio
Reinforcement Learning Guided Tutorial:
- https://www.kaggle.com/code/khusheekapoor/multi-armed-bandits: In this notebook, we create a Custom Environment that inherits the Multi Armed Bandit Environment and initialize its Observation Space, Action Space, Reward Structure, and Policy.
- https://www.kaggle.com/code/khusheekapoor/epsilon-greedy-and-upper-confidence-bound: In this notebook, we optimize the Ad Placement by applying the Epsilon Greedy and Upper Confidence Bound approaches on the Click-Through-Rate data.
- https://www.kaggle.com/code/khusheekapoor/lin-ucb-thompson-sampling-neural-epsilon-greedy: In this notebook, we generate Movie Recommendations by applying the LinUCB, Thompson Sampling, & Neural Epsilon Greedy approaches on the MovieLens dataset and analyzing the ratings given by users to different movies.
- https://www.kaggle.com/code/khusheekapoor/policy-and-value-iterations: In this notebook, we compare the policies generated by the Policy Iteration and Value Iteration on the Frozen Lake Environment.
- https://www.kaggle.com/code/khusheekapoor/monte-carlo-exploring-starts-epsilon-soft: In this notebook, we compare the performances of the Monte Carlo Exploring Starts and Monte Carlo Epsilon Soft policies on the Cliff Walking Environment.
- https://www.kaggle.com/code/khusheekapoor/sarsa-and-q-learning: In this notebook, we compare the performance of SARSA, Expected SARSA, and QLearning on the Taxi Environment.
paper summit
Gemini API Quickstart on Kaggle : https://www.kaggle.com/code/hamzanabil/google-gemini-quickstart
reef juniper
Hey everyone today I am recently sharing my new updated blog post please check and share your feedback.
cloud yoke
https://huggingface.co/spaces/disham993/gemini-pro-vision-streamlit-application Created and deployed Gemini Pro Vision Streamlit Application
Feel free to break it
dapper matrix
keen gate
Hello!
I'm a data analyst with a Google Data Analytics Certification, eager to leverage my skills to help small businesses make data-driven decisions. I'm particularly interested in developing business skills and project proposals, and I'm looking for resources to gain the necessary experience.
Do you have any recommendations for:
- Online courses, books, manuals, guides or tutorials geared towards consulting for small businesses?
- Case studies or examples of successful data analytics projects in this space?
- Hands-on workshops or bootcamps to build practical skills?
I'm open to both beginner and intermediate resources, and I'm particularly interested in learning how to develop work proposals and guides to do basic data analysis consultancies.
Any insights you can share would be greatly appreciated!
Thank you,
ROMAHE_
hard thicket
Hello!
I'm a data analyst with a Google Data Analytics Certification, eager to ...
This is THE book. https://www.deeplearningbook.org/
keen gate
This is THE book. https://www.deeplearningbook.org/
Thank you, Vibe, I'm a beginner I'm just starting to know about data analytics and I haven't even grasped deep learning
reef juniper
Hey everyone today I am recently sharing my new updated blog post please check and share your feedback.
reef juniper
Hey everyone today I am recently sharing my new updated Dataset & Kaggle Notebook on a Kaggle post please check and share your feedback.
Dataset Link: https://www.kaggle.com/datasets/jillanisofttech/tesla-stock-price
NoteBook Link: https://www.kaggle.com/code/jillanisofttech/tesla-stock-price-forecasting-lstm-94-accurcy
analog jewel
I share 2 ways of LLM can make models, Gemini Pro by Google and Open-Interpreter by OpenAI. Welcom your feedbacks!
#📚┊resources
https://www.kaggle.com/code/yutodennou/tips-auto-model-generate-by-gemini-api
https://www.kaggle.com/code/yutodennou/tips-auto-model-generate-by-open-interpreter
charred glacier
dreamy venture
Hello fellow data enthusiasts,
I'm currently working on a project to build an image classification model for age detection, and I could really use some guidance and resources to push my accuracy beyond 90%. Here's what I've done so far:
Dataset Used:
- I started with the Adience dataset, which served as my initial training data.
Progress: - I've implemented a baseline model with resnet34 and managed to achieve an accuracy of 80%, but I need to go beyond 90% mark.
What I'm Looking For:
- Additional Datasets: I'm in search of more diverse and high-quality datasets related to age detection. If you know of any, please share them with me.
- Code References: Any code references, tutorials, or resources that can help me fine-tune my model and optimize its performance would be greatly appreciated.
- Tips and Tricks: If you've worked on similar projects or have any insights or advice on improving image classification models for age detection, I'd love to hear from you!
high wraith
Hello fellow data enthusiasts,
I'm currently working on a project to build an im...
Never tried to do anything similar, so these are common-sense comments rather than informed opinions. I don't know how you are classifying age, as it should be a regression problem because age is a continuous variable. Either way, I suggest you make sure that people in your images have little or no makeup, as the makeup alone can swing our age perception by at least 10 years, and in some cases up to 20 years. There are also old people who look youthful and young people who look older, either permanently or because they were pictured after a sleeples night. You may not be able to get a model that will have much higher performance.
reef juniper
Hey everyone today I am recently sharing my new updated blog post please check and share your feedback.
dreamy venture
Never tried to do anything similar, so these are common-sense comments rather th...
I am categorising the age in multipl bins like 0-5, 5-10, 10-20, etc. Using regression it will me more difficult.
zenith coral
Insightful articles keep doing the good work @reef juniper
charred glacier
reef juniper
Hey everyone today I am recently sharing my new updated blog post please check and share your feedback.
https://jillanisofttech.medium.com/mastering-the-world-of-vector-databases-in-2024-a-data-scientists-ultimate-guide-799ffad0a782
#📚┊resources
reef juniper
Hey everyone today I am recently sharing my new updated blog post please check and share your feedback.
reef juniper
Hey Everyone today I am recently sharing my new updated blog post please check and share your feedback.
https://jillanisofttech.medium.com/redefining-excellence-in-mlops-a-guide-to-optimal-machine-learning-experimentation-environments-0c4ab61905d1
charred glacier
reef juniper
Hey Everyone today I am recently sharing my new updated blog post please check and share your feedback.
charred glacier
reef juniper
Hey Everyone today I am recently sharing my new updated blog post please check and share your feedback.
https://jillanisofttech.medium.com/revolutionizing-llms-with-rag-navigating-the-new-frontier-in-ai-knowledge-and-trust-1b68fc3b53ec
#📚┊resources
charred glacier
Guys, check this out. I found some new free sources for data skilled freelancers: https://docs.google.com/document/d/1Kpe7wQLb6TK2Tv4M7QcfAIpEeocy12xmBh_mPqbWy0E/edit#heading=h.r5vxx7bkn9kw
Made by https://thedatafreelancer.com/
reef juniper
Hey Everyone today I am recently sharing my new updated blog post please check and share your feedback.
cloud yoke
Good Morning Ladies and Gentlemen. After a break from LinkedIn for almost 6 weeks, I decided to post this: https://www.linkedin.com/posts/isham-rashik-5a547711b_upgrading-cuda-toolkit-and-nvidia-driver-activity-7161933041349640192-6c9W?utm_source=share&utm_medium=member_desktop
reef juniper
Hey Everyone today I am recently sharing my new updated blog post please check and share your feedback.
https://jillanisofttech.medium.com/in-depth-data-pipeline-overview-1e8a8dece9ee
#📚┊resources
analog jewel
I updated Sushi dataset, which has more than 1500 sushi topping names!!
reef juniper
Hey Everyone today I am recently sharing my new updated blog post please check and share your feedback.
cloud yoke
Hi guys. Hope you all having great weekend. Check out my new post on LinkedIn for generating high-quality 3D model from Image: https://www.linkedin.com/feed/update/urn:li:activity:7164884928671825920/
reef juniper
Hey Everyone today I am recently sharing my new updated blog post please check and share your feedback.
deep falcon
Discover the differences and similarities between Data Analysts and Data Scientists in this video. I will guide you through the roles, qualifications, skills, and salaries of each profession, providing clarity on which path might suit you best. Whether you're deciding on a career or seeking to understand these fields better, I hope this video offers valuable insights! https://youtu.be/MRDhD0W8WAw
thorny canyon
hello , I am a data science enthusiast, I have completed deep learning specialization by Andrew Ng and currently doing fast.ai course. I've thought of doing Kaggle competitions and they were too overwhelming(not Titanic)...can you suggest some tips and resources for improving my skills
hasty latch
Here are the two article on the basic statistics useful for the learners: 1. https://medium.com/@suhailudeen13_76259/unveiling-the-data-from-the-veil-of-gaussian-or-normal-distribution-or-bell-curve-3b9513bece20 (and) https://medium.com/@suhailudeen13_76259/the-impact-of-measures-of-central-tendency-and-measures-of-spread-over-data-fa4229d6b0cf
nimble sage
Hi, fellow Kagglers!
I recently wrote a blog post about the fascinating world of Large Language Models (LLMs). In the post, I cover:
- Core Concepts and Architectures: A simplified explanation of LLMs, training processes, and key technologies.
- Industry Applications: Real-world use cases of LLMs in healthcare, finance, education, and more.
- Emerging Trends: Exciting developments include ethical AI, multimodal models, and personalization.
- Ethical Considerations: A discussion of bias, privacy, and the impact of LLMs on society.
You can check out the full post here: https://shorturl.at/jpq18
Let me know your thoughts 🙂
reef juniper
Hey Everyone today I am recently sharing my new updated blog post please check and share your feedback.
cloud yoke
𝐄𝐧𝐝-𝐭𝐨-𝐄𝐧𝐝 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥 𝐂𝐨𝐝𝐞 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭 𝐔𝐭𝐢𝐥𝐢𝐳𝐢𝐧𝐠 𝐎𝐥𝐥𝐚𝐦𝐚, 𝐋𝐚𝐧𝐠𝐜𝐡𝐚𝐢𝐧, 𝐚𝐧𝐝 𝐒𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐭:
Linkedin post: https://www.linkedin.com/feed/update/urn:li:activity:7172400891558248448/?commentUrn=urn%3Ali%3Acomment%3A(ugcPost%3A7172400890459418624%2C7172531650797465600)&dashCommentUrn=urn%3Ali%3Afsd_comment%3A(7172531650797465600%2Curn%3Ali%3AugcPost%3A7172400890459418624)
Github Repo: https://github.com/di37/coding-assistant-codellama-streamlit
I request to leave star on the repo if you guys like it or find it useful 😄
west moon
Countries in Conflict Dataset (1989-2022)
Tracking Ongoing Conflicts and Fatalities Worldwide
https://www.kaggle.com/datasets/saurabhbadole/countries-in-conflict-dataset
Annual Working Hours Dataset (1870-1970)
Historical Data on Annual Working Hours per Worker by Country
https://www.kaggle.com/datasets/saurabhbadole/annual-working-hours-dataset-1870-1970
Latest Data Science Job Salaries (2020 - 2024)
Exploring Salary Dynamics and Employment Trends in Data Science Careers
https://www.kaggle.com/datasets/saurabhbadole/latest-data-science-job-salaries-2024
cloud yoke
west moon
This Dataset is All you Need to gain insights into tumor behavior and develop predictive models for Cancer detection and prognosis. https://www.kaggle.com/datasets/saurabhbadole/breast-cancer-wisconsin-state/data
reef mortar
I am reaching out to you with a specific goal: to seek mentorship in implementing research papers and writing AI-focused papers, particularly in the realm of lung cancer disease.
I am deeply passionate about the intersection of artificial intelligence and healthcare, with a keen interest in leveraging AI to advance our understanding and treatment of lung cancer. However, I recognize the complexities and nuances involved in this field, so I am eager to learn from experienced mentors like yourself.
rose grail
Hi Everyone,
I am a student.
I have gained an interest in the field of data science and artificial intelligence .
I am a beginner.
I have a little theoretical knowledge but want to learn way more.
I have very little practice knowledge ( I have learned some python in school though not very advanced).
I would love to hear your opinions on how should I start if I am a beginner and from where I can access resources to help with this.
west moon
🚀 Dive deep into the world of Transformers with my comprehensive guide! 📚✨ Whether you're new to the field or looking to level up your understanding, this post has got you covered. From the basics to advanced concepts, I break it all down in an engaging and accessible way.
Check it out here: Understanding Transformers: A Comprehensive Guide
Feel free to share with your fellow AI enthusiasts and learners. Let's unlock the power of State-of-the-Art Transformers together! 💡🤖 #Transformers #AI #DeepLearning #nlp #KaggleKnowledge
west moon
I was learning about COT yesterday, and thought to write a blog on it, and here it is!
Dive into and get insights on Chain of Thoughts Prompting, Support with an upvote and don't forget to share your valuable Feedback🥰
west moon
Dear Friends! Could you please check on my recent Kaggle blogs and support me with an upvote?
I would deeply appreciate it if you could share your view on it by providing valuable Feedback😇
Why Attention is all you need? https://www.kaggle.com/discussions/general/493003
Ever Wonder how Prompts are interconnected in series? https://www.kaggle.com/discussions/general/493866
Exploring the ReAct Revolution https://www.kaggle.com/discussions/general/494233
west moon
https://www.kaggle.com/code/saurabhbadole/decoding-the-attention-black-box-using-bertviz
https://www.kaggle.com/discussions/general/496770
BertViz is a tool designed to visualize the inner workings of a specific part of large language models (LLMs) called the attention mechanism. I am sure you will love this blog and find it insightful 🙂
earnest hawk
- For those interested in Medical Image Segmentation, I'm sharing two preprocessed benchmark datasets for cardiac segmentation.
- Additionally, weakly-supervised learning, particularly scribble-supervised learning, has been gaining popularity in recent years. This is due to the high cost and difficulty of traditional labeling, especially in the medical field where data sensitivity is paramount.
- Therefore, each image in my datasets also comes with corresponding scribble labels, facilitating superior learning in cardiac segmentation.
- Moreover, I've included notebooks to guide you on how to load and visualize the data. To learn more about these datasets and access the code, feel free to visit the links below.
https://www.kaggle.com/datasets/anhoangvo/acdc-dataset
https://www.kaggle.com/datasets/anhoangvo/mscmrseg
shy crypt
I want to learn the math behind, xgboost, lightgbm and catboost, is there any article or book which is easy to read and understand?
primal veldt
I want to learn the math behind, xgboost, lightgbm and catboost, is there any ar...
I would recommend you to search on* Medium - there are many content about tree-based and boosting algorithms
charred glacier
cloud yoke
Good Morning. My new post on Loading and Unloading of LLMs when using via Ollama 🦙 : https://www.linkedin.com/feed/update/urn:li:activity:7192369828848877568/
Please do ⭐ the repo if found useful 😊 - Github link: https://github.com/di37/LLM-Load-Unload-Ollama
charred glacier
charred glacier
https://www.kaggle.com/code/sadikaljarif/alzheimers-disease-classification-efficientnetb6
https://www.kaggle.com/code/sadikaljarif/regression-with-a-crab-age-using-seven-model
https://www.kaggle.com/code/sadikaljarif/disaster-tweets-prediction-using-xlnet
https://www.kaggle.com/code/sadikaljarif/imdb-movie-review-analysis-using-lstm
https://www.kaggle.com/code/sadikaljarif/spam-detection-using-albert
charred glacier
https://www.kaggle.com/code/sadikaljarif/pytorch-computer-vision-model-1
https://www.kaggle.com/code/sadikaljarif/language-identification
https://www.kaggle.com/code/sadikaljarif/customer-segmentation-with-k-means-clustering
analog jewel
I uploaded the new dataset!!
The big companies stock data organized as "GAFAM","FAANG" and "MATANA"!!
https://www.kaggle.com/datasets/yutodennou/gafamfaang-and-matana-stock-values-economics
charred glacier
https://www.kaggle.com/code/sadikaljarif/food-vs-non-food-classification-using-densenet121
https://www.kaggle.com/code/sadikaljarif/predict-bike-sharing-demand
https://www.kaggle.com/code/sadikaljarif/regression-with-a-crab-age
https://www.kaggle.com/code/sadikaljarif/pytorch-computer-vision-model-2
https://www.kaggle.com/code/sadikaljarif/handwritten-digit-recognition-with-cnn
charred glacier
https://www.kaggle.com/code/sadikaljarif/regression-with-a-crab-age-using-seven-model
https://www.kaggle.com/code/sadikaljarif/spam-detection-using-albert
https://www.kaggle.com/code/sadikaljarif/street-view-housing-number-digits-recognition
https://www.kaggle.com/code/sadikaljarif/disaster-tweets-prediction-using-xlnet
charred glacier
https://www.kaggle.com/code/sadikaljarif/regression-with-a-crab-age-using-seven-model
https://www.kaggle.com/code/sadikaljarif/spam-detection-using-albert
https://www.kaggle.com/code/sadikaljarif/disaster-tweets-prediction-using-xlnet
https://www.kaggle.com/code/sadikaljarif/predicting-beer-consumption-using-machine-learning
https://www.kaggle.com/code/sadikaljarif/pytorch-computer-vision-model-1/notebook
west moon
Dear Friends, please find below a list of trending datasets. Please feel free to share your work and thoughts.
https://www.kaggle.com/datasets/saurabhbadole/annual-working-hours-dataset-1870-1970
https://www.kaggle.com/datasets/saurabhbadole/game-of-thrones-book-dataset
https://www.kaggle.com/datasets/saurabhbadole/indian-stock-market-master-data-24
https://www.kaggle.com/datasets/saurabhbadole/zomato-delivery-operations-analytics-dataset
https://www.kaggle.com/datasets/saurabhbadole/wholesale-customers-data
sharp bough
Does anyone have any resources to get into algo trading?
earnest hawk
A preprocessed dataset for CHAOS - Combined (CT-MR) Healthy Abdominal Organ Segmentation. The dataset also contain scribble label for weakly-supervised learning. In additional, i also give a notebook to show how to loading and visualization the dataset. Please upvote my dataset, notebook and leave a comment for me if you liked it.
- Dataset:
https://www.kaggle.com/datasets/anhoangvo/chaos-t1-and-t2 - Notebook for loading and visualization dataset:
https://www.kaggle.com/code/anhoangvo/chaos-dataset-loading-and-visualization
humble crane
Does anyone have any resources to get into algo trading?
Please send me an Email Via Kaggle, I will send you the book you need for this.
sharp bough
Please send me an Email Via Kaggle, I will send you the book you need for this.
Mail Via kaggle how?😅
humble crane
Mail Via kaggle how?😅
yes it is possible, just click Contact on my profile
sharp bough
yes it is possible, just click Contact on my profile
Got it
sharp bough
yes it is possible, just click Contact on my profile
I didn't reach contributor tier yet🥲
Can't contact in kaggle ig until I reach it
humble crane
I didn't reach contributor tier yet🥲
Can't contact in kaggle ig until I reach i...
i will Dm you
earnest blaze
Hi Guys
I see these days that a Kaggle Grandmasters title has lots of importance on our resume. So I have formed a group where we can help each other in achieving the grandmaster title.
Please join me here:
https://chat.whatsapp.com/JoYLv3VvZjL8So8WWOoWlM
prime eagleBOT
mihir_shah has been warned
dreamy plover
Hello guys I have created a Data set on Kaggle "YouTube Dataset of all Data Science Channels" consist of all the Data Science educators YouTube channel details and there content details, check it out and if you like it please upvote and comment https://www.kaggle.com/datasets/abhishek0032/youtube-dataset-all-data-scienceanalyst-channels/data
humble crane
I'm excited to announce that two new datasets are now available for you to explore and use in your projects!
🌍 Air Quality and Health Impact Dataset 🌍
Dive into the intricate relationship between air quality and public health. This dataset provides detailed information on air pollutants and their impact on health outcomes. Perfect for those interested in environmental science, public health, and data analysis.
🔗 Explore the Air Quality and Health Impact Dataset
📚 Students Performance Dataset 📚
Uncover the factors influencing students' academic performance. This dataset includes variables such as socioeconomic status, parental education levels, and more. Ideal for education analysts, data scientists, and anyone passionate about improving educational outcomes.
🔗 Explore the Students Performance Dataset
Feel free to dive in, analyze, and share your insights. Happy Kaggle-ing!
Best regards,
Rabie El Kharoua
dreamy plover
I have created a notebook in You tube Dataset to find the best channels and content creators in the field of data science ,check it out and if you have any suggest then comment and if you like it please upvote https://www.kaggle.com/code/abhishek0032/youtube-channels-analysis-with-advance-visuals
primal veldt
I have created a notebook in You tube Dataset to find the best channels and cont...
Please, avoid repetitive posting in various channels. 😉
compact ice
Hi everyone!
I’ve created a notebook on smoothing methods for time series forecasting. I would love to hear your feedback. If you find it helpful, please consider upvoting!
Check it out here: https://www.kaggle.com/code/erogluegemen/time-series-forecasting-using-smoothing-methods
primal veldt
Hi everyone!
I’ve created a notebook on smoothing methods for time series forec...
Please, avoid repetitive posting in various channels. 😉
compact ice
oh sure
humble crane
🎉Another One: New Two Datasets Dropped on Kaggle! 🎉
Hey data enthusiasts! 🎉
We've just released not one, but two amazing new datasets on Kaggle. We're here with another one to keep your data cravings satisfied. Check them out:
-
Predicting Hiring Decisions in Recruitment Data: Dive into this dataset to explore the factors influencing hiring decisions. Perfect for HR analytics and predictive modeling!
-
Predicting Manufacturing Defects Dataset: This dataset offers a rich collection of data on manufacturing defects, ideal for improving quality control and reducing waste in production processes.
Get ready to enhance your data science projects with these fresh additions. Happy coding and may your insights be plentiful!
Stay tuned, Consider following for more updates because you know there's always... another one.
humble crane
Hey data enthusiasts! 🎉
Get ready to party because we're dropping not one, but Another Five amazing new datasets on Kaggle. We're here with Another one to keep your data cravings satisfied. Let’s get this data party started:
-
Predict Conversion in Digital Marketing Dataset: Dive into this dataset to explore and predict conversion rates in digital marketing campaigns.
-
Predict Restaurant Customer Satisfaction Dataset: Analyze customer feedback and predict satisfaction levels to enhance the dining experience.
-
Predict Restaurant Menu Items Profitability: This dataset helps you determine the profitability of different menu items.
-
Predict Online Dating Matches Dataset: Explore and predict potential matches in online dating,.
-
Predict Online Gaming Behavior Dataset: Analyze player behavior in online games to predict trends and enhance gaming experiences.
Get ready to enhance your data science projects with these fresh additions. Happy coding and may your insights be plentiful!
Stay tuned, consider following for more updates because you know there's always... Another one.
compact ice
Comprehensive Guide to Time Series Forecasting Methods
I've structured the series into three parts:
Smoothing Methods: https://www.kaggle.com/code/erogluegemen/time-series-forecasting-using-smoothing-methods
Statistical Methods: https://www.kaggle.com/code/erogluegemen/time-series-forecasting-using-statistical-methods
Machine Learning Methods: (Coming soon..)
If you liked, upvotes are appreciated!!!
primal salmon
Linkedin post on developer tool for AI app testings
https://www.linkedin.com/posts/avi-kumar-talaviya-739153147_ai-llm-maxim-activity-7211012707012009984-39sv?utm_source=combined_share_message&utm_medium=member_desktop
glossy apex
Hey everyone 🤗 , check my LinkedIn and X (Twitter) posts for the Hugging Face Community-led Computer Vision course (free).
Course Link: https://huggingface.co/learn/computer-vision-course/unit0/welcome/welcome
LinkedIn: https://linkedin.com/feed/update/urn:li:activity:7210511857533542400/
X (Twitter): https://x.com/snehilsanyal/status/1804750939519357028
Twitter
half plume
Hi, Is there any structured course that gives proper directions to Kaggle beginners on building profile? or any mentor in the group? Kindly guide. TIA!
half plume
hi, anyone here can share WORKING code related to univariate time series transformers? Surprisingly i found many articles on medium, which were far off from being replicated.
potent musk
potent musk
half plume
hi, kindly suggest simplest way to deploy Iris classifier on Azure. (CI / CD )
potent musk
potent musk
potent musk
potent musk
void epoch
Hello 👋
https://www.kaggle.com/code/mehmetisik/clustering-practice-k-means-analysisfor-beginners
https://www.kaggle.com/code/mehmetisik/telecom-churn-prediction-learning-ml-models
https://www.kaggle.com/code/mehmetisik/smoothing-methods-holt-winters
full wigeon
deep falcon
A data science master's degree is often a requirement on job ads nowadays. If you are considering to apply for master's programs, check out my video! Learn about selecting the right program for you, meeting prerequisites, navigating the application process, managing tuition and finances, and understanding the commitment required.
https://youtu.be/bvcYEGxRwc0
potent musk
potent musk
half plume
any good article on deploy simple IRIS classifier on Azure, via CI/CD pipeline. Can someone please help me on this?
potent musk
potent musk
cloud yoke
Hi guys. Check out the workshop/tutorial on LLM on Device: The Future of Having ChatGPT in Your Pocket - https://www.youtube.com/watch?v=zuNMvL4dtvM.
Speaker: Enrico Rampazzo
humble crane
🎓📊 Unlock insights with our comprehensive Students Performance Dataset! Dive into demographics, study habits, and academic outcomes of 2,392 high school students. Perfect for research and predictive modeling! Explore now: Link To Dataset
potent musk
potent musk
oblique epoch
Just Released A new Dataset On Multi-Label Cyberbullying Classification
Download The Dataset from here -> https://www.kaggle.com/datasets/sayankr007/cyber-bullying-data-for-multi-label-classification/
Checkout the demo for using the dataset -> https://www.kaggle.com/code/sayankr007/eda-on-latest-cyberbullying-classification-dataset
This Can be a valuable resource For Detecting Cyberbullying in Social Media to improve the Security of the user and Save a User from bullying. Hope You will find my dataset useful. I am open to Thoughts and Insights. Please share your views and ideas for improvement in the comments
potent musk
potent musk
deep falcon
GenAI tools changed the educational landscape and you might be wondering if learning python is still worth learning today. We’ll explore the ever-changing tech landscape, the pros and cons of Python, and why programming languages come and go but the fundamentals remain crucial. Whether you’re a beginner or a seasoned coder, this video will provide insights into the future of Python and its relevance today.
potent musk
potent musk
cloud yoke
Hi guys. Check out the workshop/tutorial on Video Clustering using Image Descriptors: https://www.youtube.com/watch?v=8f4oRcSnfbI
Speaker: Wajih Ullah Baig
potent musk
pastel bobcat
a notebook of all plotly visulization graphs to learn from
all of plotly plots+most of technics and animation
potent musk
potent musk
potent musk
potent musk
potent musk
potent musk
deep falcon
Machine learning is tough, but you can learn it faster with the right approach. In this video, I share four key tips to help you to demystify equations, make sense of code faster, and uncover the core structure of ML models. These tips are designed to boost your learning curve.
https://youtu.be/d7YqyiYZSGY
potent musk
potent musk
potent musk
potent musk
fleet needle
Hi, does anyone have any resources/literature on detecting AI-generated text? Any article or video would be helpful. Thanks!
potent musk
primal salmon
Worked on AI agents
https://www.analyticsvidhya.com/blog/2024/08/how-to-build-an-ai-agent-using-llama-index-and-monsterapi/
potent musk
potent musk
potent musk
potent musk
potent musk
still python
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still python
🌟 Microsoft ile Yapay Zeka ve Makine Öğrenimine Başlayın! 🌟
Merhaba, teknoloji tutkunları!
Gelecek teknolojilerini öğrenmek ve geliştirmek isteyenler için harika bir haber! Microsoft, yapay zeka ve makine öğrenimi konusunda kapsamlı ve ücretsiz eğitim kaynakları sunuyor. 🚀
📚 Neden Yapay Zeka ve Makine Öğrenimi? Yapay zeka, hayatımızı dönüştüren en heyecan verici alanlardan biridir. Etkisi, günlük rutinlerimizden iş dünyasına kadar birçok alanda hissedilmektedir. Makine öğrenimi, bu dönüşümün temel yapı taşlarından biridir. Microsoft’un eğitim materyalleri ile bu devrim niteliğindeki teknolojileri anlamak ve uygulamak için gerekli bilgiyi edinebilirsiniz.
💡 Microsoft’un Eğitim Kaynakları:
Temel Kavramlar: Yapay zeka ve makine öğreniminin temellerini öğrenin.
Uygulamalı Eğitim: Gerçek dünyadan örneklerle becerilerinizi geliştirin.
Sertifikalar: Kursları tamamlayarak kariyerinize değer katacak sertifikalar kazanın.
🔗 Daha fazla bilgi edinmek ve eğitim materyallerine erişmek için Medium’da hazırladığım yol haritasına göz atabilirsiniz.
https://medium.com/@MicrosoftLearnGuide/topic-ai-and-machine-learning-0b1677aee0b9
👥 Topluluğumuza Katılın! Kursların yanı sıra, öğrenme yolculuğunuzu destekleyen bir toplulukla bağlantı kuracaksınız. Diğer öğrencilerle etkileşimde bulunabilir, deneyimlerinizi paylaşabilir ve yeni bağlantılar kurabilirsiniz.
🚀 Şimdi harekete geçin ve Microsoft’tan bu fırsatı kaçırmayın! Geleceğin teknolojilerini şekillendirenlerden biri olun!
primal salmon
Sharing a good resource for anyone who's looking to fine-tune LLMs
https://www.analyticsvidhya.com/blog/2024/09/fine-tune-open-source-llms-using-lamini/
fleet trail
Sci Scope groups together new ArXiv papers with similar topics and summarizes them in an easy to navigate overview every week, making it easier for you to stay on top of a rapidly moving field and picking your next reading material! Subscribe to our free newsletter for a weekly summary of all AI research in your inbox!
NEW: Sign up now for a personalized version! Let us know what you like and our system will scan for papers that match your interest and send you a list + a short summary every week. Never miss out on developments relevant to your work again!
https://sci-scope.com
hard jackal
Hey everyone! 👋
I’m excited to share that I’ve launched a competition to help predict air quality levels (PM 2.5) across ten major cities in Cameroon! 🇨🇲
The goal is to build a model that uses weather conditions and environmental factors to forecast air quality, focusing on cities like Douala, Yaoundé, Bamenda, and others.
Air pollution is a big challenge for public health in many regions, and this project is a great way to apply data science for a real-world impact.
If you're interested, feel free to check it out and participate! Let’s make a difference together! 💪🌍
[https://www.kaggle.com/competitions/cameroon-air-quality-prediction/overview]
static wagon
Hi everyone! 🙋♂️
I have launched a Competition to put your skills on a fun challenge - can you break the CAPTCHAs through Computer Vision?
CAPTCHAs are widely used to differentiate between human users and automated bots, serving as a security measure on websites. However, as artificial intelligence continues to advance, traditional image-based CAPTCHA systems are increasingly vulnerable to automated attacks.
But how vulnerable are they? Let's find out through a competition!
ornate jacinth
https://www.kaggle.com/datasets/jakubkhalponiak/phones-2024
https://www.kaggle.com/code/jakubkhalponiak/a-study-of-smartphones-available-in-2024
I have webscraped phones from gsmarena.com and published a notebook and the dataset i would apreeciete any feedback on this as its my first time posting anything on kaggle
wise wasp
wise wasp
burnt vine
In my Medium story, "About Me—Mohamed El Hamly," I share my journey from a curious child to a passionate data scientist. Born in the USA to a Moroccan family, my early love for computers blossomed despite limited internet access. High school brought challenges with health issues, yet I learned the value of calm amidst stress.
After exploring various paths and overcoming obstacles, I discovered data science through 365 Data Science and Dataquest, which perfectly blended my interests with the flexibility I needed. Now, with over 40 projects under my belt, I'm excited to launch my freelance career and connect with others on this journey. Let's explore turning challenges into strengths together!
https://medium.com/@med.elhamly/about-me-mohamed-el-hamly-de8c21e740e8
quartz meteor
Learning the fundamental principles behind deep learning algorithms is essential for making the most of today’s technological opportunities. 🌐 In this comprehensive article, I cover a range of topics, from activation functions and optimization algorithms to gradient descent and loss functions.
💡 If you're interested in AI, deep learning, and optimization algorithms, check out this article for valuable insights!
https://medium.com/@denizdagli/introduction-to-deep-learning-a4a36173fcf9
sleek crow
HI, I am Abdullah I am an ML engineer want to join any team to particapte in kaggle competions
unreal gate
Good afternoon everyone,
I’m thrilled to share that I’ve finally launched my project! It’s been a journey full of effort and sacrifices, but I’m proud to say it’s completed. I’d love to share the details with you all, and I hope it can be helpful. Let’s stay in touch! 😊
https://www.linkedin.com/posts/jeniferaylengarategarro_kagglex-kagglecommunity-googleprojects-activity-7263166381817311233-sXFj?utm_source=share&utm_medium=member_desktop
eager aurora
Explore all ~110 Molecular Machine Learning Works at NeurIPS 2024: https://github.com/azminewasi/Awesome-MoML-NeurIPS24
Overview: This year's NeurIPS emphasize the convergence of machine learning, molecular modeling, and biological sciences, showcasing innovations across generative models, optimization, and representation learning. Key focus areas include protein language modeling, 3D molecular generation, molecular property prediction, and graph-based approaches for molecular dynamics and design. These works advance techniques such as diffusion models, geometric learning, and multi-modal transfer learning to address challenges in drug discovery, protein engineering, and single-cell genomics, paving the way for faster, more accurate predictions and designs in molecular biology and chemistry.
charred glacier
Unlock Your Tech Potential with Microsoft Learn
Looking to boost your tech skills? Microsoft Learn offers free, high-quality resources to help you master programming, data science, AI, and more. Whether you're a beginner or seasoned pro, these courses will guide you every step of the way:
Python for beginners
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Create and manage projects in Python
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Introduction to Azure Machine Learning
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Introduction to machine learning operations (MLOps)
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Introduction to data for machine learning
https://learn.microsoft.com/en-us/training/modules/introduction-to-data-for-machine-learning/?wt.mc_id=studentamb_430422
Create a copilot with Microsoft Copilot Studio and Dataverse for Teams
https://learn.microsoft.com/en-us/training/modules/create-chatbot-power-virtual-agents-dataverse-teams/?wt.mc_id=studentamb_430422
Microsoft Azure AI Fundamentals
https://learn.microsoft.com/en-us/training/courses/?wt.mc_id=studentamb_430422
Understand data science for machine learning
https://learn.microsoft.com/en-us/training/paths/understand-machine-learning/?wt.mc_id=studentamb_430422
Introduction to data analytics on Azure
https://learn.microsoft.com/en-us/training/paths/introduction-data-analytics-azure/?wt.mc_id=studentamb_430422
data analysis with Power BI
https://learn.microsoft.com/en-us/training/paths/prepare-data-power-bi/?wt.mc_id=studentamb_430422
SQL fundamentals
https://learn.microsoft.com/en-us/training/paths/azure-sql-fundamentals/?wt.mc_id=studentamb_430422
cybersecurity *
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8Write your first C# code
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Microsoft Azure AI Fundamentals
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Start learning today and advance your career with Microsoft Learn. All resources are free!
cloud yoke
Hello guys! I made simplified notes on LSTM, Bi-directional LSTM and Sequence to Sequence - Encoder - Decoder Architecture. Please do have look at these posts on Linkedin:
- Notes on LSTMs: https://www.linkedin.com/posts/isham-rashik-5a547711b_uaecodes-lstm-ailearning-activity-7264578226616684544-rfVw
- Notes on Bi-directional LSTMs: https://www.linkedin.com/posts/isham-rashik-5a547711b_uaecodes-machinelearning-artificialintelligence-activity-7265224285785387008-918b
- Notes on Sequence 2 Sequence Model: https://www.linkedin.com/posts/isham-rashik-5a547711b_uaecodes-machinelearning-deeplearning-activity-7266860845534519297-PQBx
marsh herald
Here's the detailed explanation of data preprocessing checklist when doing any data science project https://www.kaggle.com/discussions/questions-and-answers/550244
languid otter
An article on AI regulation.
https://medium.com/@hudson.gouge/the-trial-of-freedom-ai-regulation-aa98141c76b8
vestal crypt
Check out this repo to generate Python packages with simple prompts: https://github.com/GitsSaikat/PyGen
charred glacier
Python for beginners
https://learn.microsoft.com/en-us/training/paths/beginner-python/?wt.mc_id=studentamb_430422
Create and manage projects in Python
https://learn.microsoft.com/en-us/training/modules/python-create-manage-projects/?wt.mc_id=studentamb_430422
Introduction to Azure Machine Learning
https://learn.microsoft.com/en-us/training/modules/intro-to-azure-ml/?wt.mc_id=studentamb_430422
Introduction to machine learning operations (MLOps)
https://learn.microsoft.com/en-us/training/paths/introduction-machine-learn-operations/?wt.mc_id=studentamb_430422
Introduction to data for machine learning
https://learn.microsoft.com/en-us/training/modules/introduction-to-data-for-machine-learning/?wt.mc_id=studentamb_430422
Create a copilot with Microsoft Copilot Studio and Dataverse for Teams
https://learn.microsoft.com/en-us/training/modules/create-chatbot-power-virtual-agents-dataverse-teams/?wt.mc_id=studentamb_430422
Microsoft Azure AI Fundamentals
https://learn.microsoft.com/en-us/training/courses/?wt.mc_id=studentamb_430422
Understand data science for machine learning
https://learn.microsoft.com/en-us/training/paths/understand-machine-learning/?wt.mc_id=studentamb_430422
Introduction to data analytics on Azure
https://learn.microsoft.com/en-us/training/paths/introduction-data-analytics-azure/?wt.mc_id=studentamb_430422
data analysis with Power BI
https://learn.microsoft.com/en-us/training/paths/prepare-data-power-bi/?wt.mc_id=studentamb_430422
SQL fundamentals
https://learn.microsoft.com/en-us/training/paths/azure-sql-fundamentals/?wt.mc_id=studentamb_430422
Microsoft Azure AI Fundamentals
https://learn.microsoft.com/en-us/training/paths/get-started-with-artificial-intelligence-on-azure/?wt.mc_id=studentamb_430422
west moon
**New dataset Alert! **
Global Ease of Doing Business Dataset (2010-2019)
This dataset, sourced from the World Bank, encapsulates key indicators related to the ease of doing business in various countries. Covering metrics such as construction permits, costs, and regulatory compliance from 2010 to 2019, it offers a comprehensive view of how countries have evolved in their business environments.
umbral stone
https://medium.com/@mvanshika23/rag-evaluation-metrics-b12e9261d621 - RAG EVALUATION METRICS
charred glacier
Python for beginners
https://learn.microsoft.com/en-us/training/paths/beginner-python/?wt.mc_id=studentamb_430422
Create and manage projects in Python
https://learn.microsoft.com/en-us/training/modules/python-create-manage-projects/?wt.mc_id=studentamb_430422
Introduction to Azure Machine Learning
https://learn.microsoft.com/en-us/training/modules/intro-to-azure-ml/?wt.mc_id=studentamb_430422
Introduction to machine learning operations (MLOps)
https://learn.microsoft.com/en-us/training/paths/introduction-machine-learn-operations/?wt.mc_id=studentamb_430422
Introduction to data for machine learning
https://learn.microsoft.com/en-us/training/modules/introduction-to-data-for-machine-learning/?wt.mc_id=studentamb_430422
Create a copilot with Microsoft Copilot Studio and Dataverse for Teams
https://learn.microsoft.com/en-us/training/modules/create-chatbot-power-virtual-agents-dataverse-teams/?wt.mc_id=studentamb_430422
Microsoft Azure AI Fundamentals
https://learn.microsoft.com/en-us/training/courses/?wt.mc_id=studentamb_430422
Understand data science for machine learning
https://learn.microsoft.com/en-us/training/paths/understand-machine-learning/?wt.mc_id=studentamb_430422
Introduction to data analytics on Azure
https://learn.microsoft.com/en-us/training/paths/introduction-data-analytics-azure/?wt.mc_id=studentamb_430422
data analysis with Power BI
https://learn.microsoft.com/en-us/training/paths/prepare-data-power-bi/?wt.mc_id=studentamb_430422
SQL fundamentals
https://learn.microsoft.com/en-us/training/paths/azure-sql-fundamentals/?wt.mc_id=studentamb_430422
Microsoft Azure AI Fundamentals
https://learn.microsoft.com/en-us/training/paths/get-started-with-artificial-intelligence-on-azure/?wt.mc_id=studentamb_430422
cloud yoke
Creating synthetic dataset in no time using Argilla, Hugging Face & Ollama (for free of cost): https://www.linkedin.com/posts/isham-rashik-5a547711b_synthetic-dataset-generation-activity-7280827573062807553-dcy7
charred glacier
📢 Free Resources
📢 Microsoft Certification Pathway | Security, Compliance and Identity
➡ Foundations
✔ Exam SC-900: Microsoft Security, Compliance, and Identity Fundamentals
https://learn.microsoft.com/en-us/credentials/certifications/security-compliance-and-identity-fundamentals/?practice-assessment-type=certification/?wt.mc_id=studentamb_430422
✔ Describe the basic concepts of cybersecurity
https://learn.microsoft.com/en-us/training/paths/describe-basic-concepts-of-cybersecurity/?wt.mc_id=studentamb_430422
➡ Administrator
✔ Exam SC-200: Microsoft Security Operations Analyst
https://learn.microsoft.com/en-us/credentials/certifications/security-operations-analyst/?practice-assessment-type=certification/?wt.mc_id=studentamb_430422
✔ Exam SC-300: Microsoft Identity and Access Administrator
https://learn.microsoft.com/en-us/credentials/certifications/identity-and-access-administrator/?practice-assessment-type=certification/?wt.mc_id=studentamb_430422
✔ Exam AZ-500: Microsoft Azure Security Technologies
https://learn.microsoft.com/en-us/credentials/certifications/azure-security-engineer/?practice-assessment-type=certification/?wt.mc_id=studentamb_430422
normal acorn
Hey everyone! 👋 I wanted to share that I'm organizing the Data & AI Blogathon. What’s it all about? You’ll be writing blog posts on topics like Data Science, AI, Machine Learning, and more. We’ll have a variety of categories, including topics like Data Science and Data Engineering, as well as different formats like case studies, tutorials, how-to guides, and more. With over 7 categories to choose from, you’ll have plenty of chances to get noticed and win!
What’s in it for you?
- Get featured in big newsletters
- Mentorship from experts in the field
- Connect with top mentors, ambassadors and other AI professionals.
- Get your work shared with over 500,000 followers
If you’re looking to grow your network, get advice, and get your work noticed, this is for you! 👉 Register here: https://forms.gle/FD9FfKJMYp6QCYEE7
Feel free to connect with me on Linkedin as well! https://www.linkedin.com/in/ginacostag/
crisp bone
Hello guys! I am Atif a Data scientist and Data scraper.
I just scrape many datasets of stocks from different companies more then 100 years of datasets you can go to 🔗 link and check out my datasets and used in your project.
Kindly also upvote my datasets and profile.
Kaggle link 🔗:
https://www.kaggle.com/matiflatif/datasets
@everyone
rose sedge
🚨 Neuromatch Academy Course Applications are OPEN for 2025!! 🚨
Get your application in early to be a student or teaching assistant for this year’s courses.
Applications are due Sunday, March 23 at midnight in your local time zone.
July 7 - 25, 2025:
🧠 Computation Neuroscience
💻 Deep Learning
July 14-25, 2025:
👾 NeuroAI (advanced course)
🌏 Climatematch: Computational Tools for Climate Science
Apply & learn more here: https://lnkd.in/gaEhbVHz
magic falcon
🎬 Automate Salesforce with n8n: Instant Sentiment Analysis on New Cases using OpenAI
In this video, you'll learn how to easily build powerful automation between Salesforce and n8n in minutes! I will walk you through a practical use case: automatically analyzing the sentiment of new Salesforce cases using OpenAI.
Here's how it works:
🌟 When a new case is created in Salesforce, n8n will instantly trigger a workflow.
🌟 This workflow will pull key details from the Salesforce case record.
🌟 n8n will then send this information to OpenAI to perform custom sentiment analysis, determining if the customer is happy or unhappy.
🌟 Based on the sentiment analysis results, n8n can automatically trigger follow-up actions, such as sending targeted emails.
This video demonstrates the incredible power of combining Salesforce and n8n to create efficient and intelligent automation workflows quickly and easily. See how you can leverage these tools to enhance your customer service and streamline your processes.
#N8N #GoogleOAuth #Automation #Integration #Tutorial #StepByStep #NewProcess #NoCode #WorkflowAutomation #GoogleAPI #salesforce
magic falcon
🎬 How to Automatically Save Gmail Attachments to Google Drive! using N8N
Tired of manually downloading and saving attachments from Gmail to your Google Drive? This video will show you how to easily automate the entire process using n8n, the powerful open-source workflow automation tool.
In this step-by-step tutorial, I'll guide you through setting up a workflow in n8n that automatically processes multiple attachments from your Gmail inbox and saves them directly to a folder of your choice in Google Drive. This automation will save you time, improve your productivity, and streamline your workflow.
This video demonstrates the incredible power of combining Google services with n8n for efficient automation. Whether you're a beginner or an experienced automation enthusiast, you'll find this tutorial helpful.
Have you built any cool automations? I'd love to see them! Share your workflows in the comments below, and I'll be happy to check them out.
In this video, I have covered:
🌟 0:01 - Introduction
🌟 0:25 - Start building the workflow
🌟 4:00 - Test the workflow
🌟 4:45 - Test the workflow with multiple attachments
🌟 5:41 - Modify the workflow to handle multiple attachments
🌟 10:56 - Test the modified workflow with multiple attachments
🌟 11:49 - Final Thoughts
magic falcon
🎬 n8n Automation Tutorial: Gmail Attachments to Google Drive with AI Invoice Detection
Stop manually saving email attachments! In this video, I'll show you a powerful automation workflow using Google and n8n to automatically save attachments from Gmail to a specific folder in Google Drive. We'll even use OpenAI to intelligently identify invoice emails, so only those attachments are saved.
This tutorial is perfect for anyone looking to automate their workflow, save time, and boost productivity. Learn how to connect Gmail, Google Drive, n8n, and OpenAI in minutes!
Here's what you'll learn:
🌟 How to trigger workflows from new Gmail emails
🌟 How to use n8n to connect Google services
🌟 How to use OpenAI to analyze text and identify invoices
🌟 How to automatically save attachments to Google Drive
🌟 Best practices for workflow automation
#n8n #google #googledrive #gmail #openai #workflowautomation #productivity #automationtutorial
brave comet
I have started stats series on kaggle discussion. If someone is looking for resources on stats in one place I will be sharing my notes there.
I hope you guys find it useful😊
magic falcon
🎬 Automate Google Calendar & Gmail from Chat Message using n8n & OpenAI
Stop manually creating Google Calendar events and emails from your chat messages! In this step-by-step tutorial, you'll learn how to build a powerful automation workflow in minutes using n8n, OpenAI, Google Calendar, and Gmail.
We'll show you exactly how to:
🌟 Configure Chat in n8n.
🌟 Use OpenAI (ChatGPT) to intelligently parse information from your chat messages.
🌟 Automatically create detailed Google Calendar entries.
🌟 Generate and send emails via Gmail based on the chat content.
This n8n and OpenAI integration unlocks seamless Google Workspace automation, saving you time and boosting productivity.
#n8n #google #googledrive #gmail #openai #workflowautomation #productivity #automationtutorial
magic falcon
🎬 Unlock AI Power: Create a Wellness App Instantly with Cursor & Vibe Coding
Watch how I leverage the power of AI code generation (sometimes called "Vibe Coding") to build an application from scratch. I will instruct the AI to set up user registration and login, and then create features allowing users to browse and select various wellness programs tailored to their needs.
I will be creating an “AI-Powered Personal Wellness Coach” app which should allow users to register and login. On login, the app should allow user to see all the available programs and select the ones based on their need.
The app will support following use cases:
🌟 User should be able to register and that will store the user details in the MongoDB
🌟 User should be able to login with their credentials
🌟 User should be able to select programs from the selection, which will update in the MongoDB
🌟 User should be able to click on the selected program to see the details and check their own progress there.
neat yoke
Hey everyone,
This week I spoke at Londroid about how to run Small Language Models in your Apps using the MediaPipe library.
With AI still being a hot topic I wanted to share how advancements in this field can be used to provide interesting and novel ways to solve problems in mobile development.
I hope this talk is of interest and inspires you to try out Small Language Models in your own apps!
silver coral
https://aistudent.community/signup
Not technically a resource, this is a community for people all across the globe (right now there's mainly Indians) to discuss about AI, etc. There's a lotta resources in there, and there's also sessions every Friday 5-6 PM IST.
prime eagleBOT
dadumguy has been warned
wise wasp
https://aistudent.community/signup
Not technically a resource, this is a communi...
@frosty fox invite him to spaio spain
wise wasp
https://aistudent.community/signup
Not technically a resource, this is a communi...
Lui we've a bigger/better ai community called INAIO
frosty fox
<@763292785293393920> invite him to spaio ~~spain~~
no SOTA
ioaid
spoai is deprecated
- is he even a part of INAIO?
frosty fox
Yeah wherever invite him
great internal conflicts going on
once those are sorted will send
prime eagleBOT
qafig has been warned
frosty fox
😔
invites are banned now?
Can the staffs allow for this invite?
This is for genuine cause, otherwise I have to dm everyone who wants to join the IOAI community
wise wasp
This is for genuine cause, otherwise I have to dm everyone who wants to join the...
Man dm ur juniors
-# im tired of dming them so handing the duty over to u
frosty fox
they can't participate this year
maybe next year
- now the forum has shifted to a paid platform named edstem
every user has a lisence
ACM has covered the cost for us
wise wasp
spoai is deprecated
-# u r getting deprecated very soon :blobBusiness:
rapid fjord
Hi
I am a data engineer
Wanted to know the easiest way to learn Machine learning and Deep Learnign within 15 days
shell ginkgo
hi, anyone can share pls resources to prep for GCP professional certification exam on Data Engineer and ML Engineer?
near saddle
Hi everybody, I am looking for resources on how to deal with non normally distributed data. Would you know any book, publication that guides on how to deal with it in a general way ? thanks
wise knoll
i am considering to be a data analyst will anyone help me with resources?
misty sundial
Hi everybody! I am looking to start learning abt EDA, does anyone have any resources that would help?
cedar harness
Has anyone found Data Camp to be helpful in your career?
frigid basalt
hi, anyone can share pls resources to prep for GCP professional certification ex...
Hello, Have you tried the Courses on Coursera.org
manic walrus
Hi
I am a data engineer
Wanted to know the easiest way to learn Machine lear...
Try Statquest youtube video by Josh Starmmer or youtube videos by Louis Serano for a head start
modern elm
Hey everyone 👋
I recently wrote a blog to help myself (and others) understand the calculus behind Linear Regression — breaking down how the best-fit line is derived using visuals, intuitive explanations and beginner-friendly math.
If you’ve ever used regression but felt unsure about how the line is actually calculated, this post is my attempt to explain it simply.
Would love your thoughts or feedback 🙌
You can read it here: https://medium.com/data-science-collective/simple-linear-regression-intuition-part-2-the-calculus-behind-the-line-of-best-fit-10e92537390a?sk=fd4905e2b2d3f2d7da3364f98768d7f0
unique coral
👋 Hey everyone! I’m the creator of an open-source Python library called KitikiPlot — it’s designed to visualize categorical sequential data (like in genomics, weather, or time-based logs). It helps highlight intervals of interest using sliding windows.
If anyone works with sequential data and wants to give it a try or offer feedback, here’s the repo: https://github.com/BodduSriPavan-111/kitikiplot
Happy to collaborate or answer questions!
frozen ivy
🤖 Just dropped: June edition of "Agents All You Need"
The AI agent landscape is moving at breakneck speed, and this month's newsletter covers the developments that actually matter for your business:
✨ What's inside: • Latest breakthrough in autonomous digital workers • Real case studies from companies deploying AI agents at scale • The tools and frameworks you need to know about • Practical implementation strategies (not just hype)
The race to build AI agents that can handle complex business tasks is heating up. While everyone's talking about it, few are sharing the actionable insights you need to get started.
This is reader-supported writing focused on cutting through the noise and delivering what you need to stay ahead.
Ready to dive deeper? https://bit.ly/3HXqNf9
What's your biggest challenge with AI agents right now? Drop it below – always curious to hear what's keeping you up at night.
foggy otter
subscribe this channel and see the latest update and learning video from here :https://www.youtube.com/@AuraaiX/videos
magic falcon
[▶️]🔴🔥🎬 How to load Kaggle Datasets inside Google Colab
In this video, learn how to download Kaggle Datasets inside Google Colab. Also in this video, I have shown the way to use the Kaggle.json file to authenticate your Google Colab workspace. At the end of the video, I have shown how to unzip the downloaded dataset inside Colab and, using Pandas, how to read the unzipped csv file.
In this video, I have covered:
🌟 0:01 - Introduction
🌟 0:15 - Login to Kaggle and Download Kaggle.json file
🌟 1:27 - How to open Google Colab file?
🌟 2:07 - Start writing commands inside Google Colab file
🌟 7:55 - Read the downloaded dataset using Pandas
🌟 10:22 - Final Thoughts
stoic jacinth
magic falcon
🎬 How to Read Excel Files in Python Like a Pro!
In this Python tutorial, you'll learn how to import and read Excel files downloaded from Kaggle using the powerful Pandas library. We'll walk through crucial high-level data cleaning techniques and exploratory data analysis (EDA) every data scientist and machine learning programmer performs. Understand how to extract relevant information, visualize data distributions with plots, and group data for deeper insights. Master the fundamentals of data wrangling with Python and Pandas to prepare your datasets for machine learning.
In this video, I have covered:
🌟 0:01 - Introduction
🌟 0:25 - Read and analyze pump_sensor_data from Kaggle
🌟 7:13 - Read and analyze student_habit_performance from Kaggle
🌟 10:22 - Final Thoughts
magic falcon
🎬 Easy Tricks to Work with Big Data Sets in Python!
In this video, learn simple, easy tricks to handle out-of-memory errors when working with very large datasets using pandas. I have used a real e-commerce dataset from Kaggle to show step-by-step solutions for data processing in Python. This video also highlights the importance of data chunking to avoid memory issues.
In this video, I have covered:
🌟 0:01 - Introduction
🌟 0:18 - Understand and Download DataSets from Kaggle
🌟 4:26 - Read and analyze the file using Pandas
🌟 13:29 - Final Thoughts
magic falcon
🎬 Can You Master Python GroupBy In Just 10 Minutes?
In this video, dive deep into the powerful groupby pandas function using a real Kaggle dataset. Learn how to perform data analysis and pandas aggregate functions with ease in your python notebook. This tutorial demonstrates practical techniques for effective data manipulation and aggregation.
In this video, I have covered:
🌟 0:01 - Introduction
🌟 0:16 - Introduce the Kaggle dataset being used in the video
🌟 0:24 - Explore GroupBy Function from Pandas
🌟 8:52 - Create buckets and use Pandas groupby function
🌟 11:37 - Final Thoughts
wise wasp
magic falcon
🎬 Easy Steps To Connect Kaggle And Vertex AI In Minutes!
In this video, learn how to connect Kaggle with Vertex AI Workbench using Google Cloud Console. The presenter guides you through enabling the Vertex AI API and setting up the environment using a Jupyter Notebook. Follow along to set up your own connection for data science projects.
In this video, I have covered:
🌟 0:01 - Introduction
🌟 0:15 - Create Vertex AI Workbench
🌟 1:31 - Start working on Jupyter Workbook
🌟 3:34 - Create cloud storage, copy Kaggle.json file and use for connectivity
🌟 5:16 - Test the connectivity by downloading Kaggle dataset
🌟 6:33 - Final Thoughts
magic falcon
🎬 Make Excel Smarter With Python Functions!
In this video, explore using Python functions right inside your Excel file to do data manipulation. This tutorial shows step-by-step examples of using Python code within Excel to solve real business problems. Learn how to perform data entry tasks and cleaning using functions.
In this video, I have covered:
🌟 0:01 - Introduction
🌟 0:25 - Standardize Date Formats Inside Excel Using Python Function
🌟 2:42 - Plot Data Inside Excel Using Python Function
🌟 5:09 - Final Thoughts
Link: https://youtu.be/Rbm-h2SsYYU
#excel #python
cloud yoke
Good Evening everyone. These are some of my Linkedin posts on Large Language Models. These posts going to play major role if you are actively building/deploying Generative AI and Agentic AI applications:
Master ReAct: The Framework Behind Smarter AI Agents: https://www.linkedin.com/posts/isham-rashik-5a547711b_ai-react-llmagents-activity-7353982733347446784-fxv3
Tree of Thought: https://www.linkedin.com/posts/isham-rashik-5a547711b_treeofthought-llmagents-reasoning-activity-7354090784578502656-tbCI
Papers that shaped Agentic AI: https://www.linkedin.com/posts/isham-rashik-5a547711b_agenticai-llms-chainofthought-activity-7354374240504020992-MEDx
Simplified explanation on Mixture of Experts: https://www.linkedin.com/posts/isham-rashik-5a547711b_ai-deeplearning-mixtureofexperts-activity-7355199047944593408-aoZ7
What is KV-Cache: https://www.linkedin.com/posts/isham-rashik-5a547711b_llm-transformers-kvcache-activity-7355431823784443904-GkSz
What I wish I knew before hosting my first LLM on GPU: https://www.linkedin.com/posts/isham-rashik-5a547711b_llm-aiengineering-mlops-activity-7355777506374778880-5Iha
Why do LLMs understand better at the start and end of the prompt than in the middle: https://www.linkedin.com/posts/isham-rashik-5a547711b_llm-promptengineering-ai-activity-7356153310342524928-6Q42
Is your LLM app ready for real users? https://www.linkedin.com/posts/isham-rashik-5a547711b_ai-llm-openai-activity-7356523984529645568-bvXB
LLM Workflow vs. AI Agents - When to use What? https://www.linkedin.com/posts/isham-rashik-5a547711b_ai-llm-aiagents-activity-7357801653963517952-C90x
twilit cobalt
https://aistudent.community/signup
Not technically a resource, this is a communi...
rent cant be that high bro 🥀
magic falcon
[▶️] Confusion Matrix Explained With Simple Examples!
In this video, learn about model evaluation techniques using a confusion matrix. Explore concepts like accuracy and precision, alongside recall, to assess model performance. This ML tutorial simplifies model assessment for better understanding.
In this video, I have covered:
🌟 0:01 - Start
🌟 0:09 - Definition of Confusion Matrix
🌟 0:28 - Understand Confusion Matrix with simple example
🌟 4:08 - Understand Confusion Matrix with complex example
🌟 6:15 - Quick Summary
🌟 7:20 - Key Metrics
🌟 8:44 - When to use? Precision vs Recall
🌟 10:12 - Final Thoughts
magic falcon
[▶️] How I Trained a Model With Kaggle Data in Vertex AI!
In this video, learn how to use a Kaggle dataset inside Vertex AI. Here I have explained the process inside the Google Cloud Console, demonstrating each part of the process. Follow along to train a machine learning model, evaluate the model and deploy the model.
The Use Case is to train and deploy a model which will predict whether the loan will be approved or not depending on the other features.
In this video, I have covered:
✨0:01 - Introduction
✨0.28 - Use DataSet from Kaggle to store inside Cloud Storage
✨1:22 - Create Vertex AI Datasets
✨4.11 - Train the Model
✨6:26 - Evaluate the Model
✨8:12 - Deploy the Model to Endpoint
✨10:09 - Let's predict using the Model
✨11:30 - Final Thoughts
magic falcon
[▶️] LangExtract - Google's New Python Library for NLP Tasks
In this video, I'm covering Google's LangExtract, an open source Python library. The library utilizes LLMs to extract structured information from unstructured text, enhancing data science workflows. Learn how to use this new gen ai tool for your next project.
📌 Github: https://github.com/suddeb/langextract
In this video, I have covered:
✨0:01 - Introduction
✨0.28 - Use DataSet from Kaggle to store inside Cloud Storage
✨1:22 - Create Vertex AI Datasets
✨4.11 - Train the Model
✨6:26 - Evaluate the Model
✨8:12 - Deploy the Model to Endpoint
✨10:09 - Let's predict using the Model
✨11:30 - Final Thoughts
Link: https://youtu.be/lSovMBDKIgE
#MachineLearning #Pythin #LangExtract #Structured #nlp #Unstructured
magic falcon
[▶️] Can Gemini CLI Really Help You Fix Code in Minutes?
In this video, I demonstrate Gemini CLI, an open-source AI agent designed to run directly in your terminal. It assists with coding tasks by understanding and fixing code using natural language prompts, making coding easier. The best part is that Gemini CLI is a free AI tool, requiring just a Google account login, and offering access to Gemini Pro with a 1 million token context window.
📌 Github: https://github.com/suddeb/GeminiCLI
In this video, I have covered:
0:01 - Introduction
0.46 - Installation of Gemini CLI
1:49 - Authenticate
3:49 - Use of Github Repo to demonstrate the power of Gemini CLI
5:38 - Prompt 1: Summary of changes made to the codebase
7:59 - Prompt 2: Generate Architecture overview
9:50 - Prompt 3: Gemini solving Github Issue
13:40 - Prompt 4: Create test for Python program
14:53 - Prompt 5: Generate changelog
16:18 - Final Thoughts
magic falcon
[▶️] Gemini CLI + AgentQL MCP Servers: Easy Setup in 5 Minutes!
This video provides a focused tutorial on how to configure an MCP server (AgentQL) inside Gemini. Learn the steps and commands needed for server setup, making it easy to get started with Gemini AI. If you want to get more information on Gemini installation, check out my previous video on Gemini CLI.
📌 Gemini CLI Installation: https://youtu.be/qk4Q3EOHm4k
In this video, I have covered:
0:01 - Introduction
0.47 - Installation of AgentQL MCP Server in Gemini CLI
4:01 - Verify that MCP Server is installed
4:25 - Prompt 1: Fetch latest videos from youtube channel using AgentQL MCP Server
5:41 - Prompt 2: Fetch top videos from youtube channel using AgentQL MCP Server
6:45 - Final Thoughts
hasty jasper
If you are looking to get professional headshots for free, you can try this:
https://www.linkedin.com/posts/blurred-machine_linedin-tech-genai-activity-7366997204214927361-uH_Z
swift dew
Perpelexity is offering 1 month pro and early access to their new browser comet , redeem it from here
This can help you further with your studies and research!
make sure to signin with your student mail
rustic finch
Hey @everyone!
A couple of us have just signed up for the AI4B PRO Annual Membership and we’re looking for one more person to join our small team to round out the account (we're both working professionals and happy to share LinkedIn profiles once we connect). Here’s the deal:
- All-in-one package: AI4B offers training, coaching, tools (paid versions of ChatGPT, Claude, Perplexity, Gemini, Grok, etc.), and a supportive community in one place.
- Shared value: We’re on the Annual PRO Plan, which allows up to 2 sub-accounts under one main account. That means you get nearly full benefits at just a fraction of the cost when shared.
- Practical + hands-on: The platform shines in combining step-by-step coaching with live on-calls, alongside direct access to AI tools. Subscribing to these tools separately would cost much more.
- Bonus perks: You’ll also get the full set of bonuses from their last webinar, including 2 tickets (valued at $495 each) to their AI Summit in November (Vegas). Since we won’t be using them, you’re welcome to take them.
- Good to know: It’s not the most technical AI program (so if you’re after hardcore coding/ML training, this isn’t the one). But for applied AI in business, productivity, and creative projects, it’s an excellent value.
We already have 2 members locked in, so this last spot is for someone reliable. If you’ve been curious about AI4B, this is a great way to get access without paying full price.
💬 DM me if you’re interested or want details. First come, first served!
magic falcon
[▶️] Overview Of Classification & Regression | Supervised Learning Model
This is my 2nd video from the "Let's Understand Machine Learning" series. In this video, I'm diving into the basics of classification and regression—the two most important concepts from Supervised Learning. Also, I have explained how to evaluate a model once it is trained. The concept of Overfitting to Training Data was also explained.
In this video, I have covered:
0:01 - Introduction
0:15 - Understand Classification
2:02 - Understand Regression
4:20 - Way to evaluate two different model
8:39 - Final Thoughts
magic falcon
[▶️] Try These Cool Gemini CLI Features Today! It's FREE
This video highlights all the new cool, but powerful features came along with the latest release of Gemini CLI.
In this video, I have covered:
0:01 - Introduction
0:07 - Feature 1 - Gemini CLI Companion
2:18 - Feature 2 - Memory
7:13 - Feature 3 - Init
10:08 - Feature 4 - Workspace
13:47 - Feature 5 - Stat
14:53 - Feature 6 - Chat History
16:49 - Feature 7 - GitHub Integration
22:40 - Final Thoughts
tiny haven
Just published: the hard truths of building RAG systems in production that no one talks about 👇
https://medium.com/@amdj3dax/building-rag-systems-in-production-the-hard-won-lessons-nobody-talks-about-71db252e5e3e
halcyon ginkgo
Hello everyone!
I’ve made a beginner-friendly guide on how to read and understand describe() from pandas.
I’d really appreciate your feedback, suggestions, and an upvote — I’m still a beginner!
https://www.kaggle.com/code/purnamaridzkynugraha/exploring-data-with-pandas-describe
formal berry
AI Coding Tools Blog Posts (First of many)
- The Complete MCP Server Setup Guide: Claude Desktop, Claude Code, and Cursor
- The Claude Command Reference Card
- MCP Setup Comparison Tables
https://github.com/neomatrix369/awesome-ai-ml-dl/blob/master/blogs/ai-coding-tools/README.md
First of the 3-community contribution friendly format posts, feel free to contribute to it them, to improve the content and quality.
modern elm
Hello everyone!
I shared a short explainer on the Gini Coefficient; a simple metric used in binary classification to see how well a model separates defaulters from non-defaulters.
It also shows how Gini connects with ROC-AUC, which is commonly used in banking for model evaluation.
You can read it here: https://towardsdatascience.com/beyond-roc-auc-and-ks-gini-coefficient-explained-simply/
nova zinc
Hello all
This notebook explores pretty basic but solid concepts of gradients, chain rule, and then working onto some importance logic called the Integrated Gradients.
I have shown how the relation holds true wrt the OG chain rule from calculus, how we go a step further and tap into integrated gradients, which in turn truly describe the logic behind feature attribution using the IG.
The dataset and the Model is pretty simple to begin with, the aim of the notebook is to enforce some mathematical concepts.
https://www.kaggle.com/code/kureeltanishq/local-derivative-and-accumulated-derivative
Also,
I am beginning to learn pytorch and using it for training Networks. I wrote this basic beginner style of notebook to get comfortable with pytorch for training. (Did not attempt much on scores). *This would be useful for anyone who wants to learn the structure of writing pytorch code, but not get overwhelmed with the scores etc. *
If you find any of these useful, please do upvote and share, and would love to hear any feedback in the comments.
https://www.kaggle.com/code/kureeltanishq/llm-classif-fine-tuning-bert-with-pytorch
halcyon ginkgo
Hey everyone! I just published a notebook on handling skewed data with transformations. Would love it if you could check it out, leave some feedback, or drop an upvote if you find it useful! Thanks!
https://www.kaggle.com/code/purnamaridzkynugraha/handling-skewed-data-with-transformations
brazen dove
Ignore if you already use Comet browser, if not then claim it now for free. Comet is an Agentic Browser by Perplexity that works for you.
https://pplx.ai/kabyik
sand imp
alpine prairie
Try out perplexity's comet browser! Y'all can get 1 month of pro for free using the link below. I also get a little goody out of it 😁
nova zinc
Decoding the "Logit" in the Logistic Regression .. !!
https://www.kaggle.com/code/kureeltanishq/the-logit-in-logistic-regression
A deep peek into Logistic Regression
magic falcon
Build Your First Workflow Using OpenAI's Agent Builder
In this video, I will introduce you to OpenAI's Agent Builder. I will be using this tool to build a workflow agent who can do multiple jobs depending on the type of user's request.
In this video, I have covered:
0:01 - Introduction
0:50 - How to access Agent Builder
1:22 - Start building the first workflow
9:54 - Test the workflow
16:58 - Introducing Guardrail
20:10 - Final Thoughts
alpine prairie
tropic crown
Hey 👋 I’m Rammani Pandey, a B.Tech graduate in AI & Data Science (2025) 🎓. I’m passionate about AI/ML, Generative AI, and Cloud Computing ☁️🤖.
Excited to connect, learn, and collaborate with you ! - https://www.linkedin.com/in/rammani-pandey-97302a22b/
lavish obsidian
Hi guys,
If you are wondering to roll out your deep learning models into real world successfully, please take a look at my post:
From Model to Production: Deploying Deep Learning Without the Drama
Please check it out and share your thoughts!
If you found this useful, follow me here on Medium for more deep dives, tutorials, and lessons learned.
Thanks!
swift lodge
]
pulsar coral
hi
hollow marten
Hi, I’m LUCKY YADAV from Akbarpur, Ambedkar Nagar (UP).
I’m passionate about AI and technology, and currently learning to build intelligent systems through the Google AI Agents program.
I’m active on Kaggle, exploring AI tools, completing challenges, and improving my skills every day.
My goal is to grow as an innovator and work on smart AI projects in the future.
visual quest
Hi
agile lagoon
Hi
fair flare
Hi
visual quest
Hii
vague gust
Hii
runic delta
Hii
manic lantern
hi
granite pecan
hi guys any one join google ai intensive program
opal ferry
Hi I am jhalak
sinful light
hi guys any one join google ai intensive program
Yes, I have joined
rancid shell
Hiii
rancid shell
Yes, I have joined
Mee too
sinful light
Oo
sage prairie
Any materials has come??????
swift bloom
hey everyone
brisk stone
misty condor
hi
fiery valve
10th matarial ?
livid ingot
Hii
fickle valve
Hii
severe granite
hii
spice ridge
1st day assignment material
royal sage
Sharing the mindmap I created on notebookLM of the whitepaper, maybe useful for anyone,
https://notebooklm.google.com/notebook/8abbd3f0-e087-4e52-a290-b684f6d35e08
weak slate
torn grail
royal sage
Created a Summary on notion for 3rd day of AI Agents course, maybe useful for anyone for quick overview.
frail sparrow
https://affpapa.com/new-crypto-casino-scam-with-elon-musks-name-targets-crypto-fans/
Don't scam people here. Use the resources properly.
split jackal
Did anyone make collectively report of 5 days of Agentic Ai course happening??
It will be useful if provided. Thank you in advance.
steep spear
Hi
bold geode
I have no credit or debit card, how can i get access Google cloud service
dull oracle
Hi,
Currently we have Gemini3/nano banana2/ seedream/ seedance for free
Check it out: Siray.ai
magic falcon
Gemini CLI Extensions + Chrome DevTools: AI-Powered Frontend Debugging & Automation
In this comprehensive tutorial, I'll show you exactly how to connect the Gemini CLI (Command Line Interface) Extensions to your Chrome browser using the dedicated Chrome DevTools Extension. This integration transforms your terminal into an AI-powered agent, giving Gemini the ability to read, inspect, and interact with a live browser tab.
In this video, I have covered:
0:01 - Introduction
0:24 - Gemini CLI Extensions Announcements
1:37 - Installation of Chrome DevTools in Gemini CLI
3:16 - Experiment 1
5:25 - Experiment 2
6:49 - Experiment 3
8:16 - Final Thoughts
late patrol
“Dear Kaggle Team, can you please confirm the correct email or method to submit course completion details (notebook, writeup) for the Google AI Agents Intensive Capstone?”
dusty plaza
Hello everyone! 👋
I’m excited to share my capstone project:
🛡️ SENTINELS – Multimodal Disaster Intelligence System
An AI-powered system for real-time disaster detection, severity analysis, risk prediction & interactive mapping.
🔗 Kaggle Notebook: https://www.kaggle.com/code/mukthanjalibonala/sentinels-multimodal-disaster-intelligence-agent
Connect with me on LinkedIn 👉 https://www.linkedin.com/in/mukthanjalibonala/
Would love feedback, suggestions, and support 🙏
Thank you! 💙
pearl mango
https://media.discordapp.net/attachments/1444971360047726605/1445085758598938824/image1.gif?ex=692f107d&is=692dbefd&hm=94f18cd6e7350e7cc612826beb5d11a9fd125485a58ee1e39a16a03b6f9e2426&=&width=237&height=315
https://media.discordapp.net/attachments/1444971360047726605/1445085766937088000/image2.gif?ex=692f107f&is=692dbeff&hm=51e8429e6818b166e21485a613e8f0c706d64c765aefc93f65a7bcefa10907c2&=&width=864&height=1152
https://media.discordapp.net/attachments/1444971360047726605/1445085774562197535/image3.gif?ex=692f1081&is=692dbf01&hm=e520e8e4edd4eea02e82168a7059a868ea59c19d9b90c7c34402f7bb3616c76f&=&width=864&height=1152
https://media.discordapp.net/attachments/1444971360047726605/1445085781801566319/image4.gif?ex=692f1082&is=692dbf02&hm=bdc0715977fdcda4b7804916e5bfb36af1d3132f535d1b4327894a067fbfc769&=&width=725&height=907
magic falcon
Python 3.14 T-Strings EXPLAINED: f-strings vs t-strings for Secure String Formatting
While f-strings are great for general use, T-strings (introduced in PEP 750) are designed for a crucial purpose: secure string handling and deferred processing, which makes them ideal for building safer applications.
In this deep-dive tutorial for the Technical Potpourri channel, we'll cover everything you need to know:
⚙️ What's New in Python 3.14? A quick look at the major changes, including the introduction of template strings.
⚙️ T-Strings vs. F-Strings: I will break down the core difference—T-strings return a Template object instead of an immediate str, giving libraries control over interpolation for enhanced security.
⚙️ Basic Syntax: Learn how to write your first T-string and understand its fundamental structure.
⚙️ Simple Interpolation: See how values are handled within the new Template object.
⚙️ Security & Explicit Conversion: Discover why T-strings are the safer choice for user-supplied input, helping to prevent vulnerabilities like SQL Injection and XSS attacks.
⚙️ SQL Query Templates: A practical example demonstrating how to use T-strings to safely construct dynamic SQL queries.
cobalt fern
This is a blog on the topic "Langchain vs Llamaindex the fight for your ai apps brain in 2026" and if you are working on RAG, Agents and its frameworks (langchain and llamaindex) - then it might be helpful for you
hope you all find it helpful 💗
wise wasp
This is a blog on the topic "Langchain vs Llamaindex the fight for your ai apps ...
It's kinda clarifying still as new frameworks n libs pops up its more confusing for ex we've now https://dspy.ai that does 40-50% of the stuff of langchain n a new oss alt to llamaindex https://cocoindex.io which is growing and have tons of unique n new things but yes llamaindex still is more mature but the point is all these libraries/frameworks other than pure agent framework/sdks tend to be adding smth to the ai app in different ways
cobalt fern
It's kinda clarifying still as new frameworks n libs pops up its more confusing ...
That’s exactly why I framed it around roles, not tool supremacy.
The comparison wasn’t “LangChain vs LlamaIndex forever”, it was “how to think about the stack today.”
New libs (DSPy, CocoIndex, etc.) will keep emerging and replacing parts of the pipeline — that doesn’t invalidate understanding orchestration vs data access vs optimization.
Code changes fast, mental models compound.
Showing code + abstractions was intentional — not to lock into LangChain/LlamaIndex, but to show how to reason when the next library shows up. That’s the actual skill.
hasty frigate
Hii guys
unique socket
spark quail
hey guys anybody have any free courses of data science with certificate ?
if yes then kindly send to my dm
subtle shadow
heyy, anyone created any notebook LM for this 5 day course ? with the data sources of all whitepapersa and video and everything ?
shrewd grotto
Hi,
Are you a beginner to Kaggle Competitions?
Start today in playgrounds,
I have made a beginner-friendly notebook guide,
which will help you start developing your thinking process for playground competitions.
Link: https://www.kaggle.com/code/vaibhavdlights/thumb-rule-for-all-playground-beginner
Please upvote if you like 🙏
pseudo tulip
Hi Kagglers! I have created several educational notebooks on topics like: Self-supervised learning, AutoEncoders, GANs, so can you upvote them, if it was valuable for you:
https://www.kaggle.com/code/baidalinadilzhan/ssl-solo-learn-tutorial
https://www.kaggle.com/code/baidalinadilzhan/autoencoders-tutorial
https://www.kaggle.com/code/baidalinadilzhan/gan-tutorial
wanton siren
safe dawn
Hi @everyone
📘 Python Loops & Strings – Kaggle Notebook 🐍
This notebook explains Python loops (for, while) and strings in a detailed and easy-to-understand way, with clear examples.
It’s especially helpful for beginners 🚀
Please check it out and leave a vote ⭐ and a comment 💬 — your feedback is highly appreciated! 🙌
https://www.kaggle.com/code/dastgeerjutt/3-loops-and-strings-detailed
crisp nymph
Hi @everyone
📘 Python Loops & Strings – Kaggle Notebook 🐍
This notebook explai...
good resource. thank you 👍
cloud yoke
I have shared notes on AI Agent Memory Architecture. It would be really beneficial for you all if you guys are working with AI Agents at work or for hobby: https://www.linkedin.com/feed/update/urn:li:activity:7424153788464173056/
candid onyx
🚗⚡ Just dropped a 🔥 Kaggle Masterpiece: Analyzed 271K Washington State EVs with INTERACTIVE MAPS, XGBoost Ensembles, & 2027 Forecasts!
Key Insights:
✅ Tesla dominates 60% – but Chevy Bolt crushes on range/price
✅ Urban Heatmaps reveal Seattle hotspots (download HTML map!)
✅ ML Beast: R²=0.95 predicting range, 94% CAFV eligibility
✅ Forecast: +50K new EVs by 2027 – infrastructure crisis ahead?
Built with GeoPandas, Folium, StackingRegressor (XGB+LGBM+RF). Perfect for policy makers & energy pros!
🔗 Dive in & upvote: [https://www.kaggle.com/code/hammadansari7/electric-vehicle-population-analysis]
What’s YOUR take on EV adoption? Rural lag or tech hype?
#DataScience #Kaggle #MachineLearning #GeospatialAnalysis #ElectricVehicles #EV #Forecasting #XGBoost #Sustainability #AI
@Kaggle @Tesla @robikscube @towardsdatascience @everyone
rapid dagger
Competitive programming contest focused on math, Probability and quant style questions
stray spruce
Hi guys! I'm hosting a demo day, with the goal to help early stage startups demo, recruit, and raise. Great opportunity to network or find your next role! https://luma.com/ltzg1s75
wise wasp
magic falcon
🚀 OpenAI Codex Just Became a Command Center for Autonomous AI Agents
What if software could build itself while you sleep?
In this video on Technical Potpourri, I break down how OpenAI has evolved Codex into a powerful platform for:
✅ Autonomous AI agents
✅ Parallel task execution
✅ Tool-based workflows
✅ Background automations
✅ Scaling products without writing code
If you’re a developer, founder, or tech leader, this is a glimpse into the future of how software will be built.
🎥 Watch the full breakdown here:
👉 https://youtu.be/e4LOTVCyI50
💡 Learn how to:
• Use parallel agents to speed up development
• Automate entire workflows end-to-end
• Build and scale projects with minimal human input
wise wasp
empty cypress
Did you know Microsoft offers free AI & Generative AI courses? 🤯
Beginner-friendly, practical, and super useful for students who want to learn modern AI tools.
Great opportunity to start AI the right way 🚀
Check out give comments over there!!
stoic void
You know that viral ChatGPT caricature trend? I wrote a quick piece on why it feels like magic (but definitely isn’t) and what it actually teaches us about the data we feed these models.
Check it out if you need a break from your feed! – The AI Mirror: The Uncomfortable Truth About The Story You Tell The Machine
Would love to hear your thoughts on this!
sand shuttle
Check this out. Debunking some misconceptions around building AI agents.
slate umbra
Hey @everyone
🚀 Just published a new dataset on Kaggle!
Goldman Sachs (GS) Stock Data — 1999–2026
Includes historical stock price data for Goldman Sachs covering more than two decades. Useful for:
• Stock market analysis
• Time-series forecasting
• Financial ML projects
• Data visualization
🔗 Dataset: https://www.kaggle.com/datasets/anadiskt/goldman-sachs-gs-stock-data-19992026
Feedback, suggestions, and upvotes are appreciated! 🙌
grim smelt
Hello hackers,
I need some help. I’m training a conversation disentanglement model using this repo: https://github.com/jkkummerfeld/irc-disentanglement
. It will be used to prepare a conversation dataset for a project.
I don’t have access to compute resources that can run continuously for five days. I’m using Google Colab, but sessions eventually stop when the tab closes or times out. I also can’t afford a cloud provider right now.
If anyone has a home setup that can run uninterrupted for several days and is willing to help, I would really appreciate it. Thanks!
magic falcon
🤖 Stop guessing which AI models will run on your machine.
New video just dropped on Technical Potpourri — covering llmfit, a Rust-based open-source tool that detects your GPU, RAM & CPU, then ranks hundreds of AI models by how well they’ll actually perform on YOUR hardware.
No more wasted downloads. No more system crashes. Just hardware-aware recommendations in seconds. 🚀
What’s in the video:
✔️ Live demo of the interactive TUI
✔️ How the 4-dimensional scoring works
✔️ MoE model support (DeepSeek, Mixtral)
✔️ Plan Mode — find out what hardware your dream model actually needs
✔️ Ollama, llama.cpp & MLX integration
Link in bio 🔗 or search “llmfit Technical Potpourri” on YouTube!
👇 https://youtu.be/JcCpJoVXXrg
#LocalAI #LLM #AITools #OpenSource #MachineLearning #Ollama #TechYouTube #DeveloperTools #TechnicalPotpourri #RustLang #GenerativeAI #AIHardware #llmfit #DevCommunity #ArtificialIntelligence
flat musk
Hey @everyone
🚀 Just published a new dataset on Kaggle!
**Goldman Sachs (GS) ...
A quick reminder that our server rules prohibit tagging in groups of people (like everyone) and asking for upvotes.
cursive stone
Hello everyone! 👋
If you want to upgrade your IT skills and learn more about the Microsoft ecosystem (Azure, AI, Cloud, etc.), come join the Microsoft Elevate Training Center! 🚀
This program is great for those who want to prepare for official certifications or simply stay updated with the latest technologies together with Dicoding.
Register for free through this link: https://www.dicoding.com/elevate/registration?referrer_id=5510036
Let’s go while the opportunity is still there!
slow rain
🧠 New dataset on Kaggle!
🔗 Mental Health & Burnout in Tech – https://www.kaggle.com/datasets/suhanigupta04/employee-mental-health-and-burnout-dataset
150,000 synthetic tech employee records across roles, company sizes & work modes
Covers work stress, sleep, lifestyle, therapy access & social support
Three correlated mental health scores: stress, anxiety & depression
Two targets: burnout_level (Low/Moderate/High) + seeks_professional_help (binary)
📓 Starter Notebook available — EDA, correlation heatmaps & Random Forest baseline
cursive stone
Halo semua! 👋
Buat kalian yang pengen mulai belajar Artificial Intelligence dan upgrade skill teknologi, yuk gabung di Pijak in collaboration with IBM SkillsBuild – Flash Class! 🚀
Program ini 100% fully funded dan cocok banget buat kalian yang mau belajar AI lebih terarah bareng praktisi sekaligus mempersiapkan diri jadi talenta digital masa depan.
📅 Pendaftaran sampai 30 April 2026
Daftar lewat link ini ya:
https://www.dicoding.com/pijak/registration?ref=5510036
Gas daftar sekarang, siapa tau ini jadi langkah awal perjalananmu di dunia AI! 🤖🚀
#Pijak2026 #MelangkahBersamaPijak
proven aspen
Hey @everyone!
I wanted to share some information that could be helpful for you.
Microsoft Student Ambassadors Program will help you build technical knowledge in areas like cybersecurity, cloud computing, AI, and software development, while also developing leadership and community skills.
I think it’s also a great way to boost your resume!
Explore the program here:
https://learn.microsoft.com/?wt.mc_id=studentamb_497322
cursive stone
Hello everyone! 👋
If you want to upgrade your IT skills and learn more about the Microsoft ecosystem (Azure, AI, Cloud, etc.), come join the Microsoft Elevate Training Center! 🚀
This program is great for those who want to prepare for official certifications or simply stay updated with the latest technologies together with Dicoding.
Register for free through this link: https://www.dicoding.com/elevate/registration?referrer_id=5510036
Let’s go while the opportunity is still there!
cursive stone
Hello everyone! 👋
For those of you who want to start learning Artificial Intelligence and upgrade your technology skills, come join the Pijak in collaboration with IBM SkillsBuild – Flash Class! 🚀
This program is 100% fully funded and perfect for anyone who wants to learn AI in a more structured way alongside industry practitioners, while also preparing to become part of the future digital talent workforce.
📅 Registration is open until April 30, 2026
Register through this link:
https://www.dicoding.com/pijak/registration?ref=5510036
Don’t miss the chance—this could be the first step of your journey into the world of AI! 🤖🚀
#Pijak2026 #MoveForwardWithPijak
jolly plank
📦 RESOURCE: AI-Code-Integrity-Auditor — catch what linters won't
If you've ever shipped AI-generated code that looked right but silently broke at runtime, this tool is for you.
🔗 github.com/bellatrix11176/AI-Code-Integrity-Auditor
What it is:
A local static analysis tool built specifically to catch the failure patterns that ChatGPT and Claude produce — code that passes syntax checks but is logically unreliable, incomplete, or fabricated.
This is not a linter. It's a governance layer.
What it catches:
🐍 Python files:
• structural_hallucination — names used but never defined or imported
• silent_failure_risk — bare except blocks that swallow errors
• placeholder_logic — pass, NotImplemented, TODO/FIXME stubs left in
• terminal_state_failure — functions that imply a return value but have inconsistent return paths
• narrative_state_risk — print("success") with no matching state change; docstrings claiming to write/save but the function doesn't
• control_flow_drift — unreachable code after return / break / continue
• path_to_nowhere — hardcoded local file paths not in the uploaded batch
🗂️ JSON files:
• json_integrity_issue — placeholder values (todo, temp, your-api-key), sample credentials or URLs
• schema_drift — duplicate keys, mixed camelCase/snake_case, null density ≥ 35%
How it works:
Upload your files through a Streamlit UI → get categorized findings with severity labels → fix before it hits production.
Built for anyone using AI codegen in real pipelines who needs a trust-but-verify layer before deployment.
Feedback, issues, and stars welcome 🙏
#resources #tools #python #mlops #aigenerated
https://github.com/bellatrix11176/AI-Code-Integrity-Auditor
Don't run in Microsoft OneDrive, must have been ran outside OneDrive so it works properly.
cursive stone
Hello everyone! 👋
For those of you who want to start learning Artificial Intelligence and upgrade your technology skills, come join the Pijak in collaboration with IBM SkillsBuild – Flash Class! 🚀
This program is 100% fully funded and perfect for anyone who wants to learn AI in a more structured way alongside industry practitioners, while also preparing to become part of the future digital talent workforce.
📅 Registration is open until April 30, 2026
Register through this link:
https://www.dicoding.com/pijak/registration?ref=5510036
Don’t miss the chance—this could be the first step of your journey into the world of AI! 🤖🚀
#Pijak2026 #MoveForwardWithPijak
prime eagleBOT
itspavant has been warned
slow rain
🏏 Just published my IPL Dataset (2008–2024) on Kaggle!
https://www.kaggle.com/datasets/suhanigupta04/ipl-dataset-20082024-with-match-features
17 seasons of IPL data with innings-level features engineered
from official ball-by-ball records.
⚡ Powerplay & death over stats per innings
📊 Run rate, dot ball %, boundary counts
🏆 Match outcomes, toss impact & player of match
🤖 Ready for EDA, win prediction & team analysis
cloud yoke
Hello everyone! Hope you're all doing well. 👋
I've put together detailed, illustrated notes on Introduction to LLM Context Engineering, covering topics like the six core elements of context windows, context rot, the "Lost in the Middle" effect, memory architecture patterns, and more.
These are concepts you won't easily find consolidated in one place, but they're essential for building production-grade RAG and Agentic AI applications.
This is just the beginning. As I work through the full course, these notes will eventually grow into a comprehensive textbook on Context Engineering. More chapters on the way! 📝: https://www.linkedin.com/posts/isham-rashik-5a547711b_day-01-introduction-to-llm-context-engineering-activity-7442915000119304192-9mjw
wise knoll
I am struggling to find a messy dataset to practice data cleaning. But i am tired of find a perfect dataset.
Could u help me to get that?
winged frigate
It got interesting with Microsoft AI Red teaming Lab
Tell me what you think 💭
winged frigate
Hello everyone! Hope you're all doing well. 👋
I've put together detailed, illu...
I really love your work can you mentor me
slow rain
🎬 New Dataset Live on Kaggle! 🚀
https://www.kaggle.com/datasets/suhanigupta04/global-movies-dataset-19502026
• 100K synthetic movies (1950–2026) with IMDb-style ratings, genres, budgets & revenue
• Director rankings, decade trends, blockbuster prediction targets included
• Perfect for EDA dashboards, rating prediction & recommendation systems
• ML-ready: top_100_prob, blockbuster_flag, franchise_flag targets
nova zinc
Hi all.
https://www.kaggle.com/code/kureeltanishq/qlora-simplified
Please upvote if you like this notebook on LoRa
digital kite
Hello Everyone!
If you know someone who have good skills in Python and Machine Learning, Please invite me!
Our Company is open to hire Python and Software Engineer.
Requirements:
2+ years of Software Engineering Experience
C1 or Native English Level
Good vision of Software Trent
Benefits:
Competitive Income
Supporting Several roles and chances
Multiple Role Working is enable
Important:
Our company is designed for Capability Person.
Questions:
For Junior Persons?
Do not give up, strong enthusiasm is also big point and our company also focus on the person's enthusiasm.
Thanks again.
Sophia
terse stirrup
🚀New Dataset on Kaggle! (Liver Patient data)
https://www.kaggle.com/datasets/shauryasrivastava01/liver-patient-dataset
• 583 patient records with real clinical biomarkers
• Binary classification (Liver Disease vs Healthy)
• Fully cleaned + preprocessed (no messy columns)
• Includes enzymes, bilirubin, proteins & demographic data
• Perfect for ML projects, EDA, and healthcare modeling
Hey everyone 👋
I’ve shared a clean, ready-to-use dataset covering Microsoft (MSFT) stock data from IPO to 2026 📈
https://www.kaggle.com/datasets/shauryasrivastava01/microsoft-all-time-stock-datalatest
🔹 Includes:
Open, High, Low, Close prices
Adjusted Close
Volume
Clean date formatting
💡 Perfect for:
Time series analysis
Stock price prediction models
EDA & visualization projects
Feature engineering practice
cloud yoke
I synthetically generated Electrical and Electronics Engineering domain dataset. This will be used for fine-tuning embedding model that will be used in Information Retrieval tasks in EE domain: https://www.linkedin.com/feed/update/urn:li:activity:7448939699320303616/
digital kite
Hello Everyone!
If you know someone who have good skills in Python and Machine Learning, Please invite me!
Our Company is open to hire Python and Software Engineer.
Requirements:
2+ years of Software Engineering Experience
C1 or Native English Level
Good vision of Software Trent
Benefits:
Competitive Income
Supporting Several roles and chances
Multiple Role Working is enable
Important:
Our company is designed for Capability Person.
Questions:
For Junior Persons?
Do not give up, strong enthusiasm is also big point and our company also focus on the person's enthusiasm.
How to apply?
DM with resume and 1min's record of your English Speaking
Thanks again.
Sophia
stray spruce
Hey guys,
We’re hosting a demo day to end the semester! We would love to see your startups demo, or have you join as attendees. Startup applications end Sunday
near zinc
@stray spruce please specify more about the demo
clever lintel
velvet oak
https://www.linkedin.com/posts/saicharan-ramineni_i-won-the-best-agentic-system-...
Congratulation
leaden shell
Hi everyone, I'm currently working on my Masters in Data Science with a particular interest in data visualization.
Are there any data visualization tools, programs, or best practices that you could share to help me on my journey?
placid garden
Use Power BI
waxen current
🚨 STOP sending boring CVs.
If you want your dream career, you need to stop using basic AI and start using the STAR Method.
I made a quick reel showing:
✅ How to turn a "Boring CV" into a "Selected" CV.
✅ The prompt that Senior Recruiters actually love.
✅ The #1 mistake that gets you rejected immediately.
Get the prompt here:
https://www.instagram.com/reel/DYOrbw3zcxI/?igsh=MTAzdTg0dzQ1dTFnbg==
golden glacier
