#💬┊general

1 messages · Page 3 of 1

left rock
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Hi there,
Is there any developer working on toptal platform here?

marsh glen
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Retired from the real world - just playing in cyber world.

young depot
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Hi am Belvic

steel glen
stiff magnet
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Hi I'm Duane

twin harness
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HI I'm Muhammad Asfar
A loading Data Scientist

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I am here to learn new things and to explore data science deeply

silk heart
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hi all

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is anyone online? i am feeling very demotivated for data science

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i was doing a certification, but now I am 3 weeks late 😦

silk heart
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i scored 0.78229 in titanic predictions. how are people scoring 1.000???

spice seal
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Also when I got my predictions using my model, I got predictions that were between 0 and 1. I ended up just rounding to the nearest digit but is there a better way to deal with predictions that are between 0 and 1 (especially if they are 0.5)?

unreal idol
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hey guys

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i have a question

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i need to look for a dataset with certain specifications, i have been on kaggle for around 4 hours trying to find one but im unable to find one

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i cant seem to find a dataset that is: 1. uncleaned, 2. has numbers only, 3. has at least 20 columns, 4. needs to be under 100 MB

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this one is literally perfect but i cant use this one because someone else has already used it

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any help?

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please it's urgent and i have a project due on this and i need any help

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does anyone know where i could find a dataset like that or has a dataset like that?

flint prawn
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hey there how you learn math for machine learning

twin harness
steel glen
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Print("some names")

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Ravan

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Anil

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Narayana

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Ok

abstract leaf
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Hello. I am a university student in the information science department. I recently started studying machine learning. Nice to meet you.

solemn plover
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Hello. I'm Data Scince student and I'm looking forward to meet people like me.

deep sapphire
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hey everyone Ansh this side , I am Artificial intelligence and Machine learning undregrad in India , Looking forward to hands dirty in contests and for DS and AI job opportunities.
here is my linkedin: https://www.linkedin.com/in/ansh-ml/

dawn oracle
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Hello. I am a university student in the information technology. I recently started studying machine learning. Nice to meet you.

glass lagoon
drowsy field
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Hi, My name is Pranav. Really excited to be part of this journey..

vernal cloud
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hi, I am Vaibhav. I am a Data Science Student. Looking forward to learn new things in this field

ripe abyss
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hihi

last sphinx
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hey

hushed night
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Rimviews guys

weak gulch
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Hi

coarse gulch
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Hello, I'm a Data Science Student and I'm excited to be part of the Kaggle team!

topaz wind
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Hi, I am Sumit, what should be the ideal way for me to start learning data science and ai, I do competitive programming in python and have computer science background and I am good at math

weary marlin
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Hi, my names Tariyel. I am software developer. I come here to be new member of the new generation.

hushed night
shell compass
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Hi I'm Carl I'm an Artificial intelligence enthusiast.....and I'm here to be a member of the new generation

rich galleon
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My name is Robert and I`m interested in PyTorch and Tensorflow. Wanna learn how to program AI so that I can use that knowledge to go further in the field of neuromorphic. Here is my kaggle: https://www.kaggle.com/robertbz

sonic flume
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Hi I'am a Business Informatics student and I'm here to begin my ML learning journey because i want to become a Data Scientist!

real scarab
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Hello, I am William Wu. I am a software developer in China and I'm happy to meet you guys here!

runic sinew
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Hello, I am Aman Raushan.i am a student in india and i'm happey to meet you guys here!

inland hawk
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Hi

carmine plank
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Hellu! I am Sandhya. I'm an engineering student from India. Looking forward to learning from everyone here ^-^

short pumice
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Hi

grand wagon
smoky crater
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I am Govind Shaw . My Education is bachelor in electrical-Engineering stream. I have 3+ Years of experience as a Data Analytics using MS-excel,MS SQL Server,Tableau Desktop and Tableau Server.

placid quartz
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is anyone familiar with distributed training? I am trying to use pytorch Data Parallel but still only 1 out of 4 GPUs is being used.

rain ibex
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Hi

visual pasture
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Hi everyone, I have a Data science assignment regrading A levels students performance in Universities.
So if you have done A levels and are in university, kindly fill this form.

https://forms.gle/ERkcSDvSnDWMkbAD6

bronze flower
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Hey everyone! Just trying to get better and more comfortable with data science and Python in general 🙂

open cedar
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Hi everyone, I'm a Data Scientist student.
Happy to be in this forum

warped fog
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Hi everyone
I am a student aspiring to be a data scientist
Nice to meet y'all

spice loom
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Hello Everyone, I am a CS grad exploring Data Science. Glad to be here

drifting lantern
open linden
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Hi everyone, I'm a CS grad exploring data science, machine learning and python

dreamy mirage
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Hi everyone. I am CS grad trying to learn and explore ML/DS world

cyan root
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hi everyone, i am a grad in Administration management exploring machine learning and data science😊

proper bramble
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Hi there! I'm a experienced Software Engineer that is trying to learn more about the Data Science world

lethal elm
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Hi I am a data analyst who has some experience in data science and machine learning. Cheers

swift pollen
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hi Im an Information System student from Multimedia Nusantara University Indonesia and im excited to learn more about kaggle 😁

humble jackal
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helo

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merhaba bana yardımcı olabilecek biri varmı konu derin öğrenme dm ulaşırsa sevinirim

leaden quarry
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Guys

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can someone help me pleaseeee

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after the model trains, i cant find it on the working dir

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Here is my syntax im using:

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Save the best estimator using pickle

    with open('/kaggle/working/model_rf_overpowered.pkl', 'wb') as f:
        pickle.dump(best_estimator, f)
    print("Best estimator saved using pickle.")

    # Save the best estimator using joblib
    joblib.dump(best_estimator, '/kaggle/working/model_rf_overpowered.joblib')
    print("Best estimator saved using joblib.")

    return best_estimator
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Please help kaggle is the only free platform i can use

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thank you guys!!

full grove
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I am Shripad SK. Comp Science Undergrad.

oak gulch
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I am Pratyush. Comp Science Undergrad

wicked berry
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Hello, everyone. I hope you are well. I am new this channel and i want to become a talented ai engineer with your help. Thank you.

shrewd urchin
# leaden quarry Guys

ensure that the paths '/kaggle/working/model_rf_overpowered.pkl' and '/kaggle/working/model_rf_overpowered.joblib' are correct and point to the directory where u expect the files to be saved cuz if u r running this code in a Kaggle notebook, the working directory might be different from what u expect

leaden quarry
shrewd urchin
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u might consider using a relative path or a dynamically generated path based on the current working directory

leaden quarry
leaden quarry
leaden quarry
leaden quarry
# shrewd urchin u sure that dir kaggle/working exists

best_estimator = self.create_model(X, y).best_estimator_

    # Save the best estimator using pickle
    with open('/kaggle/working/model_rf_overpowered.pkl', 'wb') as f:
        pickle.dump(best_estimator, f)
    print("Best estimator saved using pickle.")

    # Save the best estimator using joblib
    joblib.dump(best_estimator, '/kaggle/working/model_rf_overpowered.joblib')
    print("Best estimator saved using joblib.")

    return best_estimator
primal mulch
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🌟 Hello everyone! I'm Roman Letodiani, a software developer specializing in full-stack web development. Currently, working as Frontend Web Developer and Assistant Lecturer.

🚀 As an educator in software development, I'm passionate about sharing my knowledge with others and helping them embark on their coding journeys. Whether it's through workshops, tutorials, or mentoring sessions, I love empowering people to unleash their creativity through code.

👩🏻‍💻 I'm a firm believer in collaboration and enjoy teaming up with fellow developers to work on exciting projects. Whether it's building a new app, contributing to open-source initiatives, or tackling challenging problems, I thrive in environments where creativity and teamwork flourish.

Feel free to reach out if you're interested in collaborating on projects or just want to chat about all things tech! You can connect with me on LinkedIn: https://www.linkedin.com/in/letodiani-roma

arctic plume
hardy cedar
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Hey guys if anyone is interested in learning Deep Learning with me with the data set of Digit Recognition, just Dm me.

ocean roost
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Hey all, anyone in the US (Chicago even better) that wants to team up? I’ve been a data scientist for a couple years but we don’t do much model building. Came to kaggle to get reacquainted with it all and see where I left off

thorny berry
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Can someone tell me how to view your remaining time left for the week as far as using a gpu? I know its limited to like 30 hours but I dont know how to view the amount of hours i have left

strong cedar
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Hello, my name is Bilguun Tegshbayar. I am a software engineering student at McGill University, and I am coding enthusiast.

warm crow
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Which competition would I learn the most as practice if I am going to build a machine learning model for predicting how likely horses are to win a race in horse racing?

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And would i learn more from an active or completed competition?

hexed flax
thorny berry
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Hey i think i broke it XD
my gpu's dissapeared

coral harness
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Hello, this is Emmanuel.I'm Msc Data Science Student and looking to explore Kaggle to build on my Data Science Career. Nice to meet all.

toxic bronze
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I'm 37 yo, studying data science in college as my second graduatin course (fisrt one was computer networks) interested in learning data science and changing carriers inside my current job. Some oportunities are already showing up, so I have to speed up my learning.

brittle token
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User
0 Image 3762 non-null object
1 Class 3762 non-null int64
2 Mean 3762 non-null float64
3 Variance 3762 non-null float64
4 Standard Deviation 3762 non-null float64
5 Entropy 3762 non-null float64
6 Skewness 3762 non-null float64
7 Kurtosis 3762 non-null float64
8 Contrast 3762 non-null float64
9 Energy 3762 non-null float64
10 ASM 3762 non-null float64
11 Homogeneity 3762 non-null float64
12 Dissimilarity 3762 non-null float64
13 Correlation 3762 non-null float64
14 Coarseness 3762 non-null float64

These are the columns in a dataset. Predict the class using ml algorithm, 0 means no brain tumor, 1 means there is brain tumor.

Can someone explain these columns in details.
Link- https://www.kaggle.com/datasets/jakeshbohaju/brain-tumor/data

upbeat bramble
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hi there, are there anyone familiar with kaggle system?, I wanna install the required package to help pdf2image work but idk how to allow it to continue installing

jovial musk
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Hello, has anyone ever did the Tensorflow Professional Developer Certificate exam ?

elfin stag
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fuck

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Lol what's a bad word

inland jolt
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@upbeat bramble Hello !! you can apply

apt-get install poppler-utils -y

Apologizes . I wrote enter direct nstad of shift+enter , so it was posted . I am first time here !!

upbeat bramble
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:ping:

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umm, apply for what?

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oh, so it will auto confirm for me, wow

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it is ok, i am just cautious toward newleaf as there is a potential spam bot (in other server)

inland jolt
upbeat bramble
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thank you for the guidance!!

short wedge
wicked berry
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hello, i want to become a talented ai engineer. can anyone help me?

unborn compass
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I am beginner in this field for better understanding I started first with ML topics (supervised currently going on). Can someone guide me is my approach fine or will I get struck. I am good knowlegde on maths and python

austere portal
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I started machine learning and data science about 5-6 months ago. In the next 6 months, I need to create a recommendation system for a startup platform, but I don't know how to do it. Can you give me suggestions and guidance?

urban gyro
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I’m not so much of a beginner in this field. I was learning ML via videos on YouTube but apparently, my python skills was shaky so I decided to improve that first before coming back to ML/data science / AI cos I’ve got some personal projects I’ll like to embark on.

woeful juniper
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just started my first kaggle project, cant wait to become a pro

queen grove
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heya, is it acceptable to write sql queries in all small case for a purpose of presentation of queries and such and to showcase a code? all courses use key words capitalized, but tbh it's really pain to use shift or even capslock all the time while writing a lot of code, so is it ok to write it all in small caps?

vapid garnet
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Omw to india to record random birds for my database

broken sparrow
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Guys, have you ever had a problem with submitting for a competition where in the "Logs" it says Run Successful, the submission file is correctly formatted and under submissions, Kaggle says "Notebook Threw Exception," but the whole notebook executed successfully? Why is this happening?

wicked berry
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Just started with kaggle 🙂 great to be here! Thank you!

slate forge
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Just started with kaggle great to be here! Thank you!

sonic sigil
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am getting an error

Resource 'corpora/wordnet' not found.  Please use the NLTK
  Downloader to obtain the resource:  >>> nltk.download()

i even used nltk.download('wordnet')
still the error persists

cyan trail
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Just starting with kaggle. Happy to be here and look forward to controbuting and learning from the community

glacial axle
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Hey everyone!

I'm thrilled to present my latest notebook: "Gemma, LLM, Kaggle Solution Writeup Agent"!

Ever wondered how top performers crack the code in Kaggle competitions? Join me as we'll unlock the secrets behind winning solutions, powered by Gemma, Google's Open Model.
We'll unravel the strategies, techniques, and secrets behind those winning submissions. With Gemma we'll dive deep into the heart of data science excellence.

Throughout the notebook, we'll:

🔍 Deep dive into Kaggle solution write-ups, dissecting the approaches of top performers.
🎓 Explore innovative methods for data generation, few-shot prompting, and fine-tuning LLMs to boost model performance.
💡 Break down complex concepts with real-life examples, making them accessible to everyone interested in data science.
Discover how to upload your fine-tuned models to the Kaggle Model Hub, opening up opportunities for collaboration and knowledge-sharing within the community.

Check out the notebook right here: https://www.kaggle.com/code/ianakoto/gemma-llm-kaggle-solution-writeup-agent

old oxide
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Just started with Kaggle, great to be here! Thank you!

wicked berry
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Hello, everyone. I hope you are well and i want to become a talented ai engineer. Can anyone help me?

pliant nest
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Hi all, I've written a comprehensive review of variational inference in one concise book. It's been a lot of dedicated time and effort, so I hope you stay tuned https://www.thevariationalbook.com/ Happy to chat with anyone interested in the field. And on twitter, posting tidbits of knowledge https://twitter.com/TheVariational

The topic of Variational Inference unites key concepts in machine learning. Follows us to learn more about all things AI.
https://t.co/F56BECcy1N

wicked berry
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hello, everyone. i just entered in pii-detection-remove competition and i saw some codes. but all training data is from test data. can anyone explaint this?

uncut mortar
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Hi...can I dm someone regarding an kaggle competition...I m new to this platform and want to take part in this competition where you need to convert 2d to 3d images...pls your guidance would help

pulsar bane
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i dont like tensorflow

wintry aurora
rapid rain
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I have register for learning Agency Lab Competition , this is my first contest please someone guide me ,
how to begin ? how to approach ,where to code , what should be my output

limpid surge
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  1. where to code - kaggle notebook / google colab
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  1. what should be the output - read the data section of the competition
dull orbit
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hello,i am glad to join the kaggle's discord.this month i am plan to take a competition -birdclef2024 by myself.It's my first time to take program not train test.wish good luck.and i hope to recive some suggstions to get a former grade

ornate saddle
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Hello, everyone.Is there a channel to discuss and find dataset?

short wedge
ornate saddle
#

thanks,god bless u

rigid fox
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Hello my name is Javier Chacon, I'm Systems Engineering student in Colombia and a Data Science enthusiast!

odd walrus
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Hello, my name is Nadaa and I'm a fullstack software engineer and Computer Application Student

robust sphinx
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Hi, my name is Vikram and I am a tech evangalist

tawny lagoon
#

📢 Exciting news! Ever wondered what vectors in a vector space look like? 💭 Check out my latest Kaggle Notebook where I delve into the visual representation of word vectors using the** Word2Vec model on the Game of Thrones dataset**! 🐉📚

🔗 Link to the Notebook: Visual Representation of Word2Vec on GoT Dataset

In this notebook, I've explored the fascinating world of word embeddings and how they can be represented visually in a vector space. Using the popular Word2Vec model, I've** analysed the rich language of George R.R. Martin's iconic series, Game of Thrones.**

👀 Dive in to:

🔍 Understand the concept of word vectors and their significance in natural language processing.
🎨 Visualise word embeddings in a high-dimensional vector space.
📊 Explore relationships between words and their vectors!
🔀 Investigate semantic similarities and analogies between words.
💡 Gain insights into how vector representations capture linguistic nuances and contexts.

Whether you're a seasoned data scientist or just curious about the magic behind language models, this notebook offers a captivating journey into the world of vectors and their applications.

Don't miss out! Click the link above to explore the notebook, and feel free to leave your comments, questions, and feedback. Let's dive into the realm of word vectors together! 🚀✨

#DataScience #WordEmbeddings #nlp #GameOfThrones #Kaggle #Word2Vec #VectorSpace #DataVisualization

fallow slate
#

Hi, my name is Timmy and I am a research mathematician

harsh canopy
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Hi guys

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Is there a bioinformatics guy here? I just want to know if it's possible to combine bioinformatics and computer vision 😭😭

harsh canopy
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Well I will answer mysefl

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I already knew about bioinspired algorithms so... the only way that comes to my mind is, using a bioinspired algorithm to find the better architecture of a NN

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for computer vision

proven lagoon
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Hey guys, I am looking for teammates to take part in Math LLM competition. Quite new at the field, so it's mostly going to be exploratory. Hopefully, it will be a learning experience. Do connect, Thankss!!🤗

summer mauve
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Hi guys

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I am Rishi , BTech Electronics Engineer IITBHU

cunning thorn
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Hi guys
I am Paulo Marcos.

indigo current
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I have one serious doubt

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Regarding stable diffusion architecture

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There are two things written denoising unet and and denoising step

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Are these both identical or both different

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Because in the SD paper there is no clear information related to it

eternal bolt
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would be quite impractical to train T differnet unets lmao

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Im not sure about stable diffusion but the way a traditional diffusion model trains is it samples uniformly up to time step T and learns the noise to get rid of at that time step

indigo current
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For the different time steps , it's possible because they uses a concept of sinusoidal position embedded for time related constraints

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So this unet is actually time dependent unet

eternal bolt
eternal bolt
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I suggest you read up on the original DDPM paper before u try to read stable diffusion because it goes over the general concept of diffusion models before it conditions on anything like clip representations. In a nutshell a traditional diffusion model is a model that predicts p(x_t-1 | x_t) starting from random noise, so it goes without saying that its dependent on time

indigo current
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Btw I already read the ddpm paper as well

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And read the whole stable diffusion process as well

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According to me both of these denoising unet and denoising step are identical steps

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Because the formulation on the paper also shows the same thing

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But actually if both of these are identical than why the mentioned it

eternal bolt
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???

eager prism
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How can i install libraries with pip during submission with no internet?

tawny lagoon
#

🚀 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

indigo current
#

Okay next question

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What is latent space

eternal bolt
# indigo current What is latent space

latent space is usually a lower dimensional more abstract representation of the space. for example instead of generating an image in the high dimensional pixel space you would generate it in a lower dimensional latent space to save computation and then project it back to the pixel space with an autoencoder. diffusion models are pretty difficult to understand you should really start with like autoencoders then vaes then diffusion models

compact osprey
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Hi, my graduating project is to do segmentation for satellite images using Segment anything model, so i am trying to fine tune the model on my dataset, first i do freezing to the image encoder block and tune the propmt encoder and mask decoder blocks and for the propmt i use point, when it run the ruslts not good at all, the dice score is terrible, so i want someone to help me figure what the problem is to finish the project.

ornate saddle
#

is there a dataset consists of the texts about laws posted by lawyers

proven lagoon
ornate saddle
soft ferry
#

Hello, I'm learning to code and beign useful

arctic plume
slim cloak
#

Hello everyone, I have been in Deep Learning space for about some time now..Often when I watch new tutorials (I was watching lora implementations in pytorch from umar jamil's lec)..I just can't keep up with many of things in code...most of things feels new and gets overwhelming to understand
How do I bridge this gap effectively?

harsh edge
soft ferry
fringe hedge
uncut folio
#

Guys does anyone have free resources to learn deep learning and GenarativeAi?

arctic plume
wicked berry
#

hello, I'm learning to code of great competitions

uncut folio
compact osprey
#

is anyone here try to fine tune Meta Segment Anything model on satellite images ??

uneven flare
#

raviharitasa

grim thistle
#

Hello, I ma new here. any welcome ?

covert saddle
#

hello, i started working on ml like a month ago, in which i completed andrew ngs supervised learning course and am almost done with the advanced algo course. besides that i am using "hands on ml with sci kit" book

arctic plume
fluid delta
#

hello, I am kellia, I am a finance Student and I am looking forward to more about kaggle

slender radish
#

Hello i would like to ask about something

If i want to have an app that matches a resume against a job posting and assign to each resume score from0-100

Could anyone please worked on a similar task guide me how to approach it?

I don't want to use APIs

calm fiber
#

Hello my name is Nicolas and I`m a Data Science student at the PUC in Chile. My main interest are topics related to machine learning algorithms

rich haloBOT
#
horse1218 has been warned

Reason: Bad word usage

viscid spade
vital gyro
#

hey

fading urchin
#

hey

rich haloBOT
#
cryptoninjaok has been warned

Reason: Bad word usage

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cryptoninjaok has been banned

Reason: Too many infractions

wicked berry
#

does anybode have experience with zarr or other libs to store datasets for fast loading?
Because I want to save a giant dataset into a zip file but I don't understand if zar will try to load whole zip into RAM
its 150 gb the dataset and its of mri images that I use 2d slices of and even those are painfully slow to load

rich haloBOT
#
abdullahawann has been warned

Reason: Bad word usage

vale bough
#

Is Kaggle stuff here?

fading blade
#

Hi! I'm a 20 y/o coding student who loves math and AI that would like to team up with someone in the Math competition!

shut saddle
#

hey, I see websites saying there are 17m users on kaggle but the numbers on the leaderboard only add up to 200k including noobs, where is the reason of the difference?

dapper pivot
short wedge
short wedge
quaint cave
#

And also, does anybody recommend a dataset for starting with tensorflow?

magic loom
#

hey

#

I need some help

shut saddle
#

wait, since submitting a competition entry automatically makes one a contributor regardless of the result, why is not everyone who's ranked in competitions automatically a contributor or higher?

short wedge
shut saddle
#

I see, that's understandable then!

reef tiger
#

Can anyone help me in implementing this paper "Robust and accurate object detection through adversarial learning" https://arxiv.org/abs/2103.13886

dim ferry
#

Hey, I just created a video talking about the rise of AI (For a college assignment). And I need to show the engagement on the video uploaded, hopefully you guys are willing to give it a like and give me a feedback on the comment section.
Here's the youtube link: https://youtube.com/watch?v=SfKGHKzkm-o

Few things I definitely lacking on:

  • The materials are so shallow (Since I'm only given one week to make and get engagement on the video)
  • I'm not a native English speaker, so excuse my English

Thank you and have a good day 😄

SVN

Join us on a journey through the rapid evolution of Artificial Intelligence, from the emergence of deepfakes in 2017 to its current integration into our daily lives. Discover how AI has been used for both good and evil, from creating hyper-realistic fake videos to revolutionizing industries and solving global challenges. Explore the potential of...

▶ Play video
tawny lagoon
#

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 🙂

wicked berry
reef tiger
fringe birch
#

i was wondering, will google cloud next always be in the usa, or will it also be in the eu in the coming years

dim ferry
hardy zodiac
tight mesa
#

I am seeking a remote position with the role of machine learning and computer vision developer.
Please DM me if you are interested

fair glen
#

Hello,

I’m seeking interview participants with experience working in the data science sector as part of my Computer Science MSc dissertation project.

The purpose of the study is to understand the importance of human domain knowledge when creating explainable artificial intelligence (XAI) models. The study involves creating a repeatable XAI model development framework that incorporates domain knowledge. The framework will consider each stage in the model development life cycle and outline how domain knowledge can be optimally implemented at each stage, from data collection to quality assurance.

To make this research possible, I need your help. I’m sure there are plenty of experts in the Kaggle community with exactly the knowledge I am looking for.

All interview participants will be anonymised in the research, there are a total of 11 interview questions, and the expected interview duration is 15-20 minutes.

If you are interested in helping my research, please message me and I’ll share further details.

Many thanks,

Phillip

lapis bay
#

This is Muhammad Taqi Raza a researcher in the field of computer vision and deep learning. I have done several projects related to machine learning, one of which is poverty detection using satellite imagery. Moreover, I have hands on practice in training deep learning models. If some one is interested in working with me, I could be available.

copper locust
#

hy everyone, I completed some courses like intro to ML and deep learning and I did some competitions like titanic problem. Now I feel a little lost. Can anyone give me kind to roadmap on how to do kaggle now or what should be my approach? just looking for good advices.

hallow pewter
#

kaggle down?

night sail
#

Kaggle is down? What's going on?

barren ermine
#

Kaggle is down for me too !

earnest isle
#

is competition ending soon?

night sail
#

It's up again

short wedge
barren ermine
# copper locust hy everyone, I completed some courses like intro to ML and deep learning and I d...

First, Id say you should try to learn Advanced Python and do Exploratory Data Analysis instead of ML Competitions. Doing the ML intro in kaggle is really not enough, you have 2 choices: find a course like ZTM to have a solid foundation on ML and DL or you can always check people notebook (the ones that has the most markdown and informations) so you can understand why for exemple we use a Regressor or a classifier. After that, take notes and try to replicate this on your own notebooks.

patent plume
#

Hey! Can anyone suggest me any platform where I can load and train my ML model of the given dataset that is of around 136 GB

hallow pewter
wicked berry
#

rather if I have a single laptop, can dask help me?

#

I am using zarr and deeplake currently

hallow pewter
# wicked berry how is it helpful?

Instead of loading the whole dataset and frying your RAM's soul begging you to have a mercy on it. You load the dataset in chunks or rather as partitions. It also provides tools with multiprocessing and inference on multiple devices. I myself am new to using the framework. And it really helped me a lot when dealing with huge datasets

wicked berry
hallow pewter
inland flicker
#

not the F1 point distribution in AutoML Grand prix 💀

sharp dirge
still viper
#

Hello everyone, I am learning and working on ML projects. My bio is available at https://abhijit-ai-folio.netlify.app

#

In my current role as a Python Test Automation Developer, I thrive on exploring data and domain before translating it into actionable item. I have spent around 11+ years in the BFSI domain exploring mutiple businesses and veriticals within. I have pursued certification courses on Data Science, Machine Learning and simulatenously working on developing End-to-End Machine learning internship projects. My goal is to step-in into the Machine Learning ecosystem of Data Science as an ML Engineer.

misty mango
#

Hi, guys! I'm a student participating in my first Kaggle Code Competition, so I'd be greatful if you could help me, a beginner, understand the requirements for an elligible submission.

From what I've read in the Kaggle documentation, it is necessary for the submission notebook to be ran "top to buttom" in less than 9 hours of CPU / GPU runtime. That means that in my submission I should train the model on the training dataset and also predict on the test dataset in less than 9 hours, right? So, if I'm using an ensemble solution, I should manage to train all my component models in the time limit. Or I'm getting it all wrong?!

I'm asking this question because I've noticed in this and other competitions' code tabs that there are public inferrence-only notebooks that import model(s) trained elsewhere (uploaded as Kaggle datasets) and use them directly to predict on the test dataset. This shortens the total runtime of those notebooks. Is this kind of notebook allowed to be a final submission? Or is this just a way to avoid exhausting the GPU weekly quota while also allowing one to see how well their predictions perform on the public leaderboard and also making certain notebooks public for the community without revealing too much of the training process used.

If this isn't allowed, then how are my submissions supposed to compete with these sped-up notebooks, with high public scores, especially in the efficiency section of the contest?

Thank you in advance!

earnest isle
#

kaggle down?

spice seal
#

I think Kaggle is working

earnest isle
#

yeap already on the work baby

bleak salmon
#

Hey everyone!! Super excited to join and begin my developer journey

arctic plume
rotund umbra
#

Hey y'all! Super stoked to be part of this crew and learn from all the awesome data scientists here.

shut saddle
#

hey, what is the state of the art model for sentiment analysis? (just binary, positive/negative)

honest ibex
#

how you guys been running the llms? do you pay for the vertex ai subscription or use private hardware?

honest ibex
shut saddle
honest ibex
#

yes. if i wanted to do sentiment analysis that is what i would do. tho for simpler implementations you can use document embeddings and have something that kind of works. Do you mean massive in the sense of a lot of texts, or that the texts itself are massive. If the latter, it would get tricky with llms as you would have to look into models that can have longer context window and probably more expensive computation.

marsh void
#

Hi everyone, I am very excited and I hope I can join any team available here

earnest isle
#

kaggle down i repeat kaggle down

buoyant sparrow
#

Hi! I'm not familiar with software programming. But I think I see things before even happen from my Qualitative analytical skills, on that way, I can see the Qualitative state of events.

Can someone help? I'm looking to intertwine.

elfin stag
#

can someone help me

#

related to stock prediciton model

floral tangle
bold trench
bold quail
#

does anyone know what the percentage % sign means in colab? or notebooks?
I know ! is used to run shell commands, but what about %?

jagged chasm
#

anyone looking to start a study group to read machine learning by rashka?

azure lynx
#

hi

still hatch
rich haloBOT
#
asadali_ has been warned

Reason: Bad word usage

river pagoda
#

Hi everyone, are there someone here?

#

I got a question about how can I start with my data sciences degree in online formation because there aren’t careers of data sciences or computer science in general. I’m studying accountability and I wanna make a models for the auditoriums in finance institutions

#

Sometimes I’m feel so alone and in kaggle I didn’t can to speak with someone

#

And also my English is some worse, cause I’m from Central America, I hope you will be able understand. Best regards my friends 🙌🏻

bronze swift
#

can anyone help with this error? I can run it on jupyter but when i try doing it on kaggle this pops up

short wedge
river pagoda
marsh void
#

@river pagodaso you know where to start?

river pagoda
#

Idk where, I don’t wanna only study on Kaggle

marsh void
#

@river pagoda

#

here

river pagoda
#

Yes I got it

lethal token
#

hi all, just join the discord here 🙂

fair mural
#

hello everyone

quartz topaz
#

Hi everyone

crystal elbow
#

Hello

visual locust
#

Hi everyone

vivid moss
#

Hello Everyone I just joined 5 min. before messaging

marsh void
#

is there any team here that I can volunteer for ?

#

if so why don't I create the team?

bold trench
#

Hi, my kaggle notebook just shows Editor Loading...
Can't do anything. Any fixes plz

pseudo wren
#

Hello Everyone! Here to learn stuff about ML and DS.

tiny wadi
#

Hi, Very nice to be here,

fair mural
#

if i have a note book and i need help and someone rate it and tell me my mistakes

vestal lagoon
#

hello guys, any chance someone could teach me about for loops? i can't seem to understand them... im a beginner but want a programming job maybe if you have a job you can give me as well thanks my name is Gupta

urban gyro
#

Y’all are welcome.

velvet kestrel
#

Hello everyone. Good to be here. Looking forward for a lot of fruitful discussions and learning in this journey to master DS.

ivory ermine
#

Hey I want to build a ai system for scientific and Technological discoveries

verbal radish
#

I have a question for submission.csv files:

57543,0.1
57544,0.9
57545,0.5
etc.

in a csv file, is this in one column or in many? If that doesn't make sense, given a pandas dataframe, how do I turn it into this? Thank you!

knotty ledge
#

Hi everyone, I am a green hand of kaggle

#

I am an AI research engineer majoring in AI for Science. Recently we held a very interesting competition and many teams and people joined us. Here we provide a playground:https://aistudio.baidu.com/projectdetail/7459168?channelType=0&channel=0. And here is the sign-up page:https://competition.atomgit.com/competitionInfo?id=7f3f276465e9e845fd3a811d2d6925b5

#

Chance of co-author to publish a paper in IJCAI and bonus 35000$ ~

sudden niche
#

hi

hazy mica
#

hello

green crystal
#

hey

past brook
#

hello guys ! I have a question: can we use deep learning for forcasting ?

bold horizon
#

Has anyone without a university degree or masters applied for a internship that requires a degree?

scenic jacinth
#

Hello guys! Do any one of you need to team up to study machine learning together?

knotty ledge
#

Good Afternoon(+08:00 Beijing) everyone, I am here again
I am an AI research engineer majoring in AI for Science. Recently we held an exciting competition and many teams and people joined us. Here we provide a playground:https://aistudio.baidu.com/projectdetail/7459168?channelType=0&channel=0. And here is the sign-up page:https://competition.atomgit.com/competitionInfo?id=7f3f276465e9e845fd3a811d2d6925b5

#

It has been forked 94 times, come here and join us

azure lynx
#

Hi everyone

slate hamlet
fair mural
#

hello how you guys doing

slow whale
#

Hi

tidal pagoda
#

how do i update my bio on kaggle's server?

winter osprey
#

Hi everyone

tacit vine
#

Hello everyone, I need help with coming up with a data product for the monetization team in the Bank I work

Incorporation AI/Ml would be a big plus but not compulsory

If there is any project or paper you can point me to, please do 🙏

civic void
#

Hi. I am computing enginery student, and I want to know more about ia because I have some projects in my school

torn ledge
wraith garnet
#

Heyyy Im a data science enthusiast. Hope you guys are doing good 🙂

elfin stag
#

I have a customer churn model

#

I did SMOTE to handle the class imbalance

#

then did ensemble

#

I manage to get 88 accuracy

#

what else to do?

arctic crown
#

Hi guys!
I have a dataset that I've been working with recently on a ML project that I'd like to upload to kaggle.
Any tips on what I should look out to make sure it is clear enough for anyone to understand? :>

nimble iron
#

@echo spoke hey! you need something?

keen badger
#

guys suggest me some data sets for clustering

knotty ledge
viscid spade
viscid spade
viral locust
#

hello, I am a beginner in computer science and my project is: Identification of texts generated by artificial intelligence or by human beings.

I really don't have the qualities to reproduce it I need a mentor or someone to help me
please i really need help please

reef tiger
#

Does anyone have any resources to get into algo trading?

rich haloBOT
#
.paitom has been warned

Reason: Bad word usage

wicked berry
#

Hi everyone
Can you help me please select csv dataset for my study project
It must contain uncleared data, that will be used to create regression or classification model

stiff musk
#

Hello all, I’m a program manager for AI

chrome pike
#

anyone can help with the flood prediction competition?

deep carbon
chrome pike
#

the data is too hard to do a heat map on it.
do you think i should normalize the train data before doing anything?

chrome pike
deep carbon
#

It's always good to perform standardization

chrome pike
deep carbon
#

I also checked pca but there's no sense, for this perticular data.... So I directly jumped for model building 😅

#

Lr and xgboost gave me best r2 score

vestal belfry
#

learner

wary night
#

hi, can somebody tell me any limits, restrictions on kaggle

#

cause i want to start using it but im scared i might get a ban

short wedge
wary night
#

Yeah sure, but for example if I host Stable Diffusion(finetuned) I get banned

arctic plume
rich haloBOT
#
bechir00 has been warned

Reason: Bad word usage

worn cave
#

hello is any one there

devout slate
#

Hello guys! Ghulam Hussain here, I am passionate about data analysis and data science. Currently developing skills in Python, data manipulation, and statistical analysis. Eager to contribute to the Kaggle community by participating in discussions, exploring datasets, and learning from experienced Kagglers.

Areas of Interest: Data Analytics -Data Science -Machine learning

sand vault
#

How's everyone doing?

elfin stag
#

overfit?

sudden gorge
#

hello my fellow kagglers

worldly knot
#

Hi all, I am new to Kaggle and here to learn more.

worn cave
#

is any one this server participating in RSNA???

crystal ruin
acoustic mica
#

Hi everyone

#

im new to ML but ive spent quite a while learning Tensorflow, and the basics, my plan now is to learn NLP and create a model, before moving onto something more intense

sand vault
# elfin stag

What is an "Over fit" or are you looking Correlation better variables using I think it's called the coefficient matrix?

acoustic mica
#

the model learns the data too well

#

and starts finding patterns that arent actually there

fringe vigil
#

Hi, I am new to ML. Currently understanding concepts and soon would be doing some hands on

thorny knot
#

For those who are using (or interested in) Lightning Studio, I have discovered a way to install LaTeX Compiler (similar to Overleaf, but free and faster than the free version of Overleaf) on Lightning Studio. If many people are interested in this installation method, please react, and I will publish a notebook on Kaggle about it.

sand vault
fleet zodiac
#

Hi, I am Alin Castillo. I would like to improve my machine learning techniques.

dusk tree
#

hi

tribal granite
#

hello everyone. I am Grish Rana. Straight outta Tanahun, Nepal.

shell frost
#

I'm manager of a start-up agency. I want to meet english natives for improving english level of me and our developers. I can help you to solve your financial problems, if you're due to it. 🙂
Feel free to DM me and let's discuss in details.
Preferred

  • Familiar software engineering
  • 25+ years old
  • US citizen
dusk tree
#

i am looking for freelance oppurtunities in field of llms

tender drift
#

URGENT!!! Please Help!
hello @everyone, I get access to meta's Llama3-8b. But how do I get my access token? Any idea..Please help its urgent!!

thorny knot
#

Do you know any websites or sources that share short harmful videos? Or are there any tricks to find a lot of harmful videos on TikTok? I need this data to train a harmful video detection model. If anyone knows, please share some sources with me.

obtuse creek
thin wyvern
light plank
#

I am looking for some good in AR / VR ... want to create a team for a hackathon , if someone you knew or any one let me know

livid barn
#

too many garbage LLM competitions these days

elfin hatch
empty current
#

Hello!

#

I'm new to this server, and also quite new to machine learning. If I have a computer-vision related question about a chemistry project, which I think needs both segmentation and classification, where do I ask - in #❓┊ask-a-question or in #computer-vision ? Thanks in advance 😊

short wedge
#

@empty current Either is fine, more people are hanging out in ask-a-question so that might increase your chances of getting a response. Typically the more specific and clear your question the better.

civic frost
#

Hello i am a beginner and wants to be a data scientist i needed some guidance for a career path and some questions related to it

thin wyvern
empty current
tidal ibex
#

I am looking for a partner with whom I can learn deep learning. Ideally, this person is as passionate about artificial intelligence and data science as I am. Together, we can explore neural networks, dive into complex algorithms, and work on innovative projects that push the boundaries of what's possible. If you are enthusiastic about mastering deep learning and eager to embark on this educational journey with a dedicated study buddy, let's connect and start this exciting venture.

fickle shuttle
#

Hello everyone

lost sail
#

Hi, my name is Mário. I'm Brazilian and I want to train and improve my skills in Artificial Intelligence.

shut saddle
#

hey, I'm doing text sentiment classification (just positive and negative). so far I'm just using svm and rf on tfidf, would someone have a suggestion of a model that works well? thanks in advance

placid quartz
#

So, while using hf trainer I set eval accumulation steps to 1, the evaluation speed is ridiculously low, is there any workaround for this?

dry sigil
#

hello

wicked berry
fading grove
#

i keep getting this a lot, any help?

wild holly
#

how to upload models from huggingface to kaggle?

teal glacier
#

I am searching for a team partner for Kaggle competitions. Anyone interested, please DM me

teal glacier
wicked berry
#

Hello everyone. I'm Sanjula and I'm starting my journey towards becoming proficient in AI/ML. Nice to meet you.

teal glacier
eternal shuttle
#

hi everyone new to kaggle AI and DS student

wicked berry
#

Hello everyone

fickle berry
#

oh hello.

#

is anyone there?

upbeat violet
#

Hi everyone, I'm trying to submit a file for the flood regression competition but it keeps giving me the submission file not found error. I've tried making it submit an exact copy of the sample submission file but I still get the error. any help at all would be appreciated!

upper glen
#

Hello everyone. I'm Chris and I'm beginning with AI/ML skills. Nice to meet you 🙂

south rain
#

Hi everyone I am Priyansh Singh. Currently I am learning AI/ML.

plain galleon
#

Hi guys, New in the field and trying to get in the society with after completing Simplilearn Master' Data Scientist course. Currently experimenting with deep learning models and make my base stabler.

fair cairn
#

yo

wicked helm
#

hello @plain galleon where r u from ??

upper sequoia
#

Have you any one doing the Titanic prediction

edgy finch
#

Hi everybod, I'm new in this group. I'm full stack developer and trying to change a data scientist

hallow jetty
south rain
hallow jetty
exotic stratus
#

hi

south rain
#

@hallow jetty bro you don't have to purchase that course you can simply audit that course and learn for free.
EVEN I can't spend $49/month 😂

wicked helm
snow jetty
#

Hii everyone

#

I am ruchita and currently gaining experience in AI /ML

upbeat violet
south rain
#

Check for individual courses
Most of them have audit option

thorny knot
#

I am training a Video Classification Model (from transformers import VideoMAEImageProcessor, VideoMAEForVideoClassification). It is working correctly in training phrase, but in validation phrase, it only use CPU for validation, no GPU is used. Below is the link to notebook. Thanks for helping!
https://www.kaggle.com/code/an1001/tiktokvideoclassification?scriptVersionId=180260409

placid quartz
#

So, while using hf trainer I set eval accumulation steps to 1, the evaluation speed is ridiculously low, is there any workaround for this?

fluid rose
#

Hi, im new to kaggle and ML, and ive just started learning these. I found a few udemy courses on these and i thought of buying them for the certificates

#

i just wante to know as to how valuable it is for me to buy the course just for those certificates, like does having these certificates really help me in my shortlisting process in interviews? im currently in 2nd year of my engineering in computer science so im asking this with respect to my college placements

light gulch
#

does anyone knows about liquid neural nets available to deploy ?

stray nest
#

guys! I had been trying to motivate myself to work on Kaggle competitions a lot unfortunately being single ain't giving me that.

if someone is looking for a seasoned guy in Computer Vision and Natural language processing, I am happy to be part of your team

wicked berry
empty current
stray nest
empty current
#

^it's basically this

stray nest
#

@empty current I think I have an answer for you

#

You require contour algorithms with morph filter with erosion from OpenCV to remove those minute background noise

#

I'm meaning how you don't want the particles to stick in the segmentation

#

then a better approach is to use median blur and then use KMeans clustering with higher numbers of clusters to get those segmentations

#

your problem is basically a background substraction problem and watershed like algorithms won't be effective in this case

wet violet
#

can anyone explain why this is happening?

regal pier
civic valley
wet violet
#

should I just copy paste it

empty current
robust lintel
#

Hi

#

I am a beginner in ML

#

I just submitted my first ML model. Ofcourse it was the titanic one. And it's a disaster

#

Sorry I just realised there's a titanic channel. Imma go there.

stray nest
runic owl
#

KaggleX fellow program application shows coming soon !

tight quail
tight quail
halcyon fern
#

Hi what preparation do you recommend before attempting the challenge?

tight quail
# halcyon fern Hi what preparation do you recommend before attempting the challenge?

Hi Jayendra,

We encourage you to do your best. Please note that your score will not reflect your application status, so we ask that you have at least one submission.

Here are some links to references before you get started:
Take a look at a few videos to learn a bit more about site etiquette, Kaggle lingo, and how to enter a competition using Kaggle Notebooks.

Check out the Titanic - Machine Learning from Disaster beginner competition.

There might not be any teacups or finger sandwiches on the Kaggle forums but that doesn't mean there aren't certain rules of etiquette you should probably follow. Kaggle data scientist Rachael will help you learn how to mind your p's and q's... Kaggle style!

SUBSCRIBE: https://www.youtube.com/c/kaggle?sub_confirmation=1&utm_medium=youtube&utm_s...

▶ Play video

Shakeup? Leaderboard? Kernels? If you've every been confused by some of the words you see on Kaggle, this is the video for you! Kaggle data scientist Rachael will walk you through all the lingo you need to start posting like a pro.

SUBSCRIBE: https://www.youtube.com/c/kaggle?sub_confirmation=1&utm_medium=youtube&utm_source=channel&utm_campaign=...

▶ Play video

Ever wanted to try out Kaggle competitions but weren't sure how to go about it? In this video Kaggle data scientist Rachael walks you through how to enter a competition to help you start your climb up the leaderboard!

SUBSCRIBE: https://www.youtube.com/c/kaggle?sub_confirmation=1&utm_medium=youtube&utm_source=channel&utm_campaign=yt-sub

About ...

▶ Play video
halcyon fern
#

Thank you so much!

real rover
#

Can i apply in KaggleX Fellowship from Bangladesh?

tight quail
# real rover Can i apply in KaggleX Fellowship from Bangladesh?

Hi Asib, we're only able to open the program to fellows who are from a limited set of countries due to legal requirements outside of our control.

Here is the current list of eligible countries: Argentina, Australia, Austria, Brazil, Canada, Colombia, Croatia, Denmark, Finland, Ghana, Greece, India, Italy, Japan, Kenya, Mexico, Netherlands, Nigeria, Peru, Philippines, Poland, Portugal, Rwanda, South Africa, Switzerland, Turkey, UAE, Uganda, Ukraine, United Kingdom or United States

I've noted Bangladesh for the request list. We hope to expand the list in the future.

mild trellis
#

Bro how often is the kaggle x program released?

wicked berry
#

Hello everyone!

jagged chasm
#

anyone want to study ml

crystal ermine
#

Hello everyone. I published several datasets on Kaggle, everything helping in building machine learning systems for Ecommerce platforms. Can you guys please take a look ? I wanted feedback and possible improvements. https://www.kaggle.com/kartikeybartwal/datasets
Thank You 😊

timber dew
#

Will there be a channel for the RSNA comp?

blazing urchin
thorn gyro
green mortar
#

Hello, how many hours a week is a Fellow expected to work for 15 weeks in the KaggleX Fellowship Program?

south oracle
#

why am i so slow at tensorflow, etc? ;-;

#

how to get faster at debugging when there isnt a clear error message

#

eg program crashes

sharp ferry
#

best thing to do when using TensorFlow is , just start using pytorch

#

who has infinite time , to resolve issue which make no sense , always broken TF

south oracle
#

is tf just worse?

sharp ferry
#

yes it is

#

its allergic to windows as well

rich haloBOT
#
tribino85 has been warned

Reason: Posted an invite

earnest delta
#

Can I apply for KaggleX Fellowship program from India as a college student?

plucky vector
#

The application are not open yet right for kagglex fellowship?

ornate saddle
#

what's the best way to learn DSA. I am a high school, student, and i like computer science, but recently i feel tired and confused while learning DSA

hot plover
#

what is kaggleX

empty current
karmic badge
#

Oh

#

I found most ppl recommend python

#

For dsa,llm,data analyst/science/engineering

#

Learn basic..you can learn basic from MIT operncourse on yt

#

Like learn object and how does each statement functioning and structured

#

And in data science you need to learn string manipulation

#

As you gonna need to use them most of the time ig..and things like tuple,list, dictionary

#

Then you can go advance like data cleansing, pipeline,web scrapping

#

Then algorithm

#

Also python modules

misty oxide
#

Hi everyone! I'm a data scientist who works in forecasting but looking to expand my skillset and do some competitions! Looking forward to learning from everyone 🙂

raw mica
#

hi

sharp ferry
#

hello

south rain
#

hi

distant reef
#

Hi everyone! My name is Ana Paula, I'm a Data Analyst from Brazil, and I'm studying to become a Data Scientist.

tight quail
tight quail
# plucky vector The application are not open yet right for kagglex fellowship?

Hi @plucky vector, there are two parts of the application.

Step 1: Review and verify that you meet all of the program eligibility requirements
Step 2: Complete to skill assessment challenge: https://www.kaggle.com/t/005ae82d6fda45a9a3048d900fd2eb17
Step 3: Complete the application form.

We're currently experiencing issues with the application form link. We highly encourage you to get started on the skill assessment in the meantime. We will reach out once the application form is ready. Thank you for your patience and understanding.

plucky vector
fluid rose
#

Hi, im new to kaggle and ML, and ive just started learning these. I found a few udemy courses on these and i thought of buying them for the certificates
i just wante to know as to how valuable it is for me to buy the course just for those certificates, like does having these certificates really help me in my shortlisting process in interviews? im currently in 2nd year of my engineering in computer science so im asking this with respect to my college placements

carmine hearth
#

Hello everyone!! I'm Harshit just another explorer of Data Science

small mirage
#

Hello ^^

south fossil
#

Hello everyone!

wispy harness
#

I can’t edit certain cells in my kaggle notebook, is anyone experiencing the same issue?

night sail
#

Hey guys. I want to rank up on Kaggle. In order to become "Kaggle Expert", do I have to become "expert" in every category (competitions, datasets, notebooks, discussions)? Or just becoming "expert" in one of those categories is enough?

night sail
night sail
empty current
valid musk
#

Can we check out old projects done on KaggleX old cohorts?

valid musk
#

Thanks @short wedge !

woeful willow
#

Hello friends how does one actually get a kernel to start using the gpu from kaggle?:

wet nacelle
#

is anyone experienced willing to help mentor me, ive done the basic competitions of titanic and house prices and i also did some predictive maintenance project but im kinda lost

tacit token
south oracle
#

is it normal to feel frustrated in this field or am i doing something wrong?

sharp ferry
#

unless you are using TF for ML

#

then its your choice to live frustrating life

cursive heath
#

Hi, I'm CallyI3D an architect exploring AI/ML. I just got on to Kaggle and that Pepper🌶️ emoji is giving me a hard time. any ideas? i hope to get used to this platform to learn and upskill.

south oracle
sharp ferry
#

may be too old news

#

transformers are based on torch

south oracle
#

Can you, in theory, get good scores on a competition by just using ensembles on others' submissions without understanding the problem at all?

#

And does this have carryover to job skills?

sharp ferry
#

if you get something to work , then it has value
no matter what or how you did

#

but interviews need more theoretical knowledge even if the jobs won't require that much

#

in the end you just gonna copy paste most of code anyways

fair glen
#

Hey everyone,

As part of a University project, I'm conducting a survey to understand how incorporating domain specialists into species distribution model development would affect user trust and decision-making. The survey has 5 multiple choice questions and should only take a couple of minutes. All respondents are anonymous.

I'd greatly appreciate your time taken to complete this survey, your responses will be valuable for my project. Thank you.

https://www.surveymonkey.com/r/9WRDCBH

Take this survey powered by surveymonkey.com. Create your own surveys for free.

flat depot
#

Hi @tight quail , I am not sure if the ranking on KaggleX skill assessment challenge can affect my application process? Thank you.

shadow cove
#

hey Can you guys suggest me best youtube for learning and developing ai ml

#

and also discord channels where voice channels are active for ai ml developers

tight quail
flat depot
solemn kayak
#

wsp

wispy harness
wicked berry
#

feeling silly NGL

inner minnow
#

Hi everyone! I'm new here, I hope to learn a lot about machine learning from you guys!!

south oracle
#

Why do you need to write all loops by yourself in pytorch?

#

seems like i just need to save my own function for the basic default calls

sharp ferry
#

not like TF where you just model.fit()

#

btw there are multiple pipelines from huggingface which you can use to save the work

rapid timber
#

Hello people

rapid timber
solemn kayak
#

Im out

#

jkjk

karmic badge
wicked pivot
#

Hi Kaggle team I am a latino from Colombia, I would like to know if I can apply for the KaggleX Fellowship Program, thanks in advance

shell delta
#

Hello everyone.

fading blaze
#

Hello

undone gyro
#

hello

south oracle
sharp ferry
#

but its a good practice , as you mentioned before you can save that code in a file and import train function which will take all neccessary arguments

#
def train(model, train_dataloder, test_dataloader, lr, epochs, path_to_save):
  # training block 
plucky rock
#

hello

spice creek
#

Hello 👋🏻

hot horizon
#

Hello

green glade
#

hello everyone i am a 2nd year electrical engineering student
I have good understanding of non-convolutional neural networks and I have also made a project on it (image classification).
I had a doubt if I should go for generative ai or continue learning computer vision
i have interest in both the domain but generative ai seems fancier but ig it's harder
please help!!

south oracle
#

do both, youll find the answer lol

rapid timber
sharp ferry
#

tbh, i hate java

rapid timber
#

lmao

rapid timber
#

guys I got a 0.765 on the titanic thing 🔥

#

@sharp ferry and I used java 😂

sharp ferry
#

why are you using java for ML, don't you like to be happy in life

rapid timber
#

Never.

south oracle
#

cant we make a virtual machine version of python or cpp so that we can get rid of java for good?

rapid timber
#

Don't be supportive of people doing it for the first thing or anything nooo just kill whatever joy they get from it 😁

south oracle
#

sorry, congratulations
i didnt mean it ike that, i just tried submitting the gender submission to see if mine was actually that much of an improvement so i thought itd be an interesting thing to note if just starting out

rapid timber
#

Now I feel bad 😭

#

It's fine

rapid timber
south oracle
#

apparently there are a few notebooks with over 80 percent accuracy but 77 was the max i could manage lol

#

with a neural network

rapid timber
#

How are people getting 1 on the titanic thing then 💀

south oracle
#

so they just read directly from it

south oracle
#

88 is the maximum legit accuracy it seems

#

achieving an accuracy of 1 legitimately makes no sense anyway, because it kind of implies that the passengers who died on the titanic were predetermined, which is absurd since there's obviously a luck aspect

rapid timber
#

Lets just find information on the people who were on the titanic to see if that was influenced 💀

#

The only possible thing could be some conspiracy where all the people on it were pushed to get on it

south oracle
#

from what i remember, class 1 (whichever the richer class was?) passengers, women and children were more likely to survive, which is something you can get from the EDA, and those factors are actually the basis for probabilistic prediction

#

in every knowledge competition that doesnt have an enddate, the top accuracies are always 1 because the test datasets are publically available

rapid timber
#

Why don't they ban 100 % then 😭

empty current
#

There is an FAQ or something where they explain why they decided not to remove them

wicked berry
rapid timber
#

What FAQ where

coarse onyx
#

I want some upvotes 👉👈 😁

south oracle
#

i did sentiment analysis in java because i had to do something for my java course but

#

isn't python what's used in every ml job?

silent linden
#

would be really great if anyone could upload a whisperx whl to kaggle

#

i have trouble download it

unique fjord
#

was running a notebook and noticed it has issue importing tensorflow ?

wicked berry
#

Damn that sucks

#

Wish I could help

wicked berry
#

Hi,
Anyone worked before on wind speed forecasting using deep learning ?

plucky vector
#

Why do the error score change after running the same code for training again?

rapid timber
rapid timber
rapid timber
south oracle
#

i just dont like java because for some reason it makes my low end pc perform bad

#

the virtual runtime environment and all

rapid timber
#

The JVM?

#

I'm not entirely sure if python is going to be faster

#

End goal is usually accuracy for kaggle though not speed

#

I'm sure the fastest as usualy would be rust but I don't know how much ML support it has

#

You know what, I know a guy lemme ask him.

south oracle
#

im not talking about the actual speed

rapid timber
#

Ohh

south oracle
#

i dont see any reason to switch to java anyway

rapid timber
#

You don't have a dedicated like

#

ML Set up

south oracle
#

ik python for high level stuff and cpp for low level stuff so

rapid timber
#

Have you tried kaggles GPU's?

south oracle
#

yea no i wasnt talking about ml actually

#

intellij in general makes it lag for some reason

rapid timber
#

😢

south oracle
#

maybe some bug or something

rapid timber
#

What are your specs

south oracle
#

no gpu for one

#

8 gb ram

rapid timber
#

Is this on a laptop or?

south oracle
#

and this processor lmao

#

laptop

rapid timber
#

Hmmm

south oracle
#

im surprised i can run basic games like valo somehow

#

maybe cuz it's new gen?

rapid timber
#

Because valo supports low end laptops

#

Uhhh

#

You don't care about speed

south oracle
#

i guess

rapid timber
#

But intellij eats ram

south oracle
#

i only ran it for my college assignment

rapid timber
#

I have a random idea

south oracle
#

im staying away from java for now

#

i see no reason to use it

rapid timber
#

WHY I LOVE JAVA

#

Theres really not unless you're like me and wanna master EVERYTHING in java for no reason

#

I do have a real reason for ML in java though

#

FTC/FRC

south oracle
#

it's just a waste of time to learn a new language when i already know ones i can do all my stuff on

south oracle
#

just python and cpp

#

that combo takes care of most of it for me

rapid timber
#

So yeah, no real reason to go learn java just for ML

south oracle
#

i did learn basic C# for unity but i dont use it anymore
which ig is just microsoft java

rapid timber
#

Java has some advantages for some situations, pretty sure ML is not one of them right now.

rapid timber
#

We had a game design class that forced me to use it

#

Which fun fact you can use java code in unity if you try hard enough 💀

south oracle
#

languages are tools ig

#

i dont even follow tutorials basically these days, i just use docs

#

and maybe one reference code or something

rapid timber
#

SAME

#

I had to escape tutorial hell forever ago

south oracle
#

i also dislike java because it requires you to define everything unlike python, but then also doesn't give you full low level control unlike cpp

rapid timber
#

I hate dynamic typing

#

And it can give you low level control with some classes

#

It can even use cpp code

wicked berry
#

any one please help me in 1 computer vision task

atomic cove
#

Hi!! I'm Ashani, a second-year undergraduate of BSc (Hons) in Artificial Intelligence. Looking forward to learning from everyone..

wicked berry
trim mulch
#

Hi there this is Eriel!

sharp ferry
rapid timber
sharp ferry
#

start using python and you will get to see problems with java

#

why make things complicated

rapid timber
#

I mean

#

Maybe concurrency and performance?

rapid timber
rapid timber
rapid timber
#

Robotics competition that requires java since the robot runs on Android and they want us to use it for some reason

#

Yk I should ask

rapid timber
sharp ferry
#

yes you can use model in any language once you got the weights

#

what is FTC though ?

rapid timber
sharp ferry
#

don't you use c or embedding hardware for that purpose

rapid timber
#

Not sure how to export it into something I can use in another language

rapid timber
sharp ferry
rapid timber
#

Which Ik is just compressed but

sharp ferry
#

don't know about computer vision , CNNs but llms are just matix multiplications , once you have weights

rapid timber
#

what's cnn again

#

I forgor

sharp ferry
#

used to train images classifications models

#

or anything related to images

rapid timber
#

Does it stand for something

sharp ferry
#

convolution NN

rapid timber
#

Ohhh

#

I also wanna make

#

I think it's it's called a large action model?

sharp ferry
#

never heard of anything like that

rapid timber
#

Instead of generating stuff or whatever it's given a set of things it can do it just has to decide which to do

#

Im basically replacing the robot driver entirely 💀

sharp ferry
#

more like Reinforcement learning

rapid timber
#

Yeah

#

I'm gonna have to make most of the data myself

#

And then do the reward bs with the AI

#

Right now I'm making a stacked ensemble learning program with 10 fold cross validation for kaggle

#

Funsies

#

I plan to use outside of kaggle one day hopefully

#

Gonna add some more fancy stuff for the decision tree algorithm because right now it is absolutely useless 🔥

sharp ferry
#

best of luck ☘️

rapid timber
rapid timber
sharp ferry
#

why not

pale dune
#

hii

hazy hedge
#

Can anyone recommend some large datasets available on the internet for linear regression and predicting something?

karmic badge
karmic badge
#

Somewhere 900k cells

sharp ferry
karmic badge
#

Mb

sharp ferry
#

i mean how does that data looks like ?

#

features ?

karmic badge
sharp ferry
#

ohhk 👍

sharp ferry
karmic badge
#

I do not think so

south oracle
#

I had this really weird idea the other data for making a model that predicts a person's BMI or weight from an image

karmic badge
#

Like game genre=sold%

sharp ferry
#

their no pattern for price and reviews

south oracle
#

Not sure where to find data for that though

sharp ferry
south oracle
#

can scrape their images and weights

sharp ferry
karmic badge
#

Or you can corelate overall review% with sold%

#

Idk ...i didn do machine learning

#

Didn even know knn algorithm

sharp ferry
sharp ferry
south oracle
sharp ferry
#

why predict from photo

karmic badge
#

Hmmm...ive tried to use sql to extract the steam games data

#

But its didn come to fruition

south oracle
#

will it good look on resume if i scrape everything from scratch? I could demonstrate skills for a lot of ml related jobs, from data collection and analytics, feature engineering to model design

#

because everything else that i put on resume, someone else will have done better than me

sharp ferry
karmic badge
#

My project for my portfolio

sharp ferry
#

if you gonna invest time , do something worth or something to learn even if copy

south oracle
#

what should you even put on your resume? good models already exist for every good dataset out there

sharp ferry
sharp ferry
#

try different techinques to improve loss on pretrained model

south oracle
sharp ferry
#

you can't build something extra ordinary that easily , reaserchers wasting their life still coming up with hopeless papers which will go to dust in few. months

sharp ferry
#

like you will have an idea of limitations and improvements

south oracle
#

how would you stand out from all other applicants though?

karmic badge
# sharp ferry CS student ?

My major is computer networking...also just recently get into data science realm bcuz of i considered it to be the forefront in the industrial environment+ im hired to work with team of data science bcuz the HR thot i wan the engineer role itself and they didn really any kind of project that need for network engineer

sharp ferry
#

or write good blogs on medium or HF

sharp ferry
#

you want to pursue career in networking or in ML then ?

karmic badge
#

And not to mention that networking company have started to do network automation, involving ci/cd pipeline

south oracle
sharp ferry
south oracle
sharp ferry
sharp ferry
karmic badge
sharp ferry
boreal dust
sharp ferry
# boreal dust ah is there a go-to place for ML research papers? I've mostly just been studying...
karmic badge
#

Data science/network

sharp ferry
#

arxiv website is home for all research papers

boreal dust
#

ah sweet

sharp ferry
karmic badge
# sharp ferry even in networking field you can not avoid this much of automation and python

Like this ```python
import os
from dotenv import load_dotenv
import requests
import click
from pprint import pprint

load_dotenv()

class Trello:
def init(self):
self.trello_api_url = "https://api.trello.com/1"
self.trello_api_key = os.getenv("trello_api_key")
self.trello_api_token = os.getenv("trello_api_token")

def get_all_boards(self, boardname=""):


    url = f"{self.trello_api_url}/members/me/boards"

    headers = {"Accept": "application/json"}
    query = {"key": self.trello_api_key, "token": self.trello_api_token}
    response = requests.request("GET", url, headers=headers, params=query).json()

    for board in response:
        if boardname == board['name']:
            print(board['id'])
sharp ferry
#

just a lazy devloper , don't wanna bother opening trello for looking at tasks

south oracle
sharp ferry
south oracle
#

like, revolutionary papers

sharp ferry
#

just search for popular papers and you might get some recommendations

south oracle
#

alright, thanks

karmic badge
#

my current data

#

is consist of this :

#

"Store Number": Which likely serves as a unique identifier
"AreaStore": Denoting the store's physical area in square meters
"Property": Specifying whether the store is owned or rented
"Type": Classifying the store's category
"Old/New": Indicating whether the store is a new or established one
"Checkout Number": Potentially representing the number of cash registers
"Revenue": Revealing the financial performance or earnings of each store

#

what you might suggest i can do with this?

#

for data science project?

#

@sharp ferry

#

im srry with the ping if you didn feel comfortable with it

sharp ferry
sharp ferry
south oracle
#

Can someone help me understand why my code is running out of RAM? I was doing the facial keypoints recognition competition

timid crypt
sharp ferry
south oracle
#

Im more concerned with how the RAM's going that high because the dataset is only like, 200 MB?

sharp ferry
#

set low batch size

south oracle
#

Wait, wouldn't RAM already be used when I read it into a pandas dataset though?

sharp ferry
#

batch size = 16 or 8

#

no

south oracle
#

So it is stored in disk until it's used?

sharp ferry
#

yes

south oracle
#

same with the pytorch dataset?

#

Because like I said I just iterated over the dataset without using a dataloader. Does that load the entire dataset into RAM?

sharp ferry
#

just set batch size to lower number

sharp ferry
#

which is too big

south oracle
#

I'm not using that variable anywhere in the submission code

sharp ferry
#

ram only keep track of current usage other stuff gets into heap , or swap memory

south oracle
#

But point stands, I'm not using that data size variable for submission so it's gotta be something else
had no issues in training or validation

sharp ferry
#

don't have idea what you doing

sharp ferry
south oracle
#

that might be it

karmic badge
#

i got this

#
---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
Cell In[3], line 1
----> 1 import pyspark
      2 from pyspark.sql import SparkSession
      3 from pyspark.sql.functions import col, expr

ModuleNotFoundError: No module named 'pyspark'
sharp ferry
karmic badge
#

you can do that on kaggle?

sharp ferry
#

wow , you believe in safari

karmic badge
#

or its smt like container/virtual

sharp ferry
karmic badge
#

where the installation doesnt efct?

sharp ferry
karmic badge
sharp ferry
#

yes

karmic badge
#

so why does kaggle notebook asked to install

#

like does the environment in kaggle is different?

sharp ferry
#

you are using kaggle notebook on kaggle website or in your local vs code

sharp ferry
karmic badge
#

yh

#

so i think the environment is differen

#

im using kaggle's notebook

#

bcuz whenever i start a fresh new session its aksed me to install it

sharp ferry
#

whenever you start a session you get new server assigned to you which will get cleaned after you stop using it

#

so you have to install dependencies everytime you start a session

thorny knot
#

I am training a Binary Object Detection Model, but I don't know how to set the bounding box for the background class. It means if there is no cardiac area in the image, the model shouldn't create any bounding box for this image. Thanks for helping.

Below is the related source code:

self.detection_model = FasterRCNN(
            self.backbone,
            num_classes=2,  # Binary detection: presence or absence of cardiac area
            #rpn_anchor_generator=self.anchor_generator,
            #box_roi_pool=self.roi_pooler,
            min_size=256,
            max_size=256
        )
if len(unique_labels) == 2 and 0 in unique_labels and 4 in unique_labels: 
            # If only background, return default bounding box and label
            box = torch.tensor([[0, 0, 0, 0]], dtype=torch.float32)
            box_label = torch.tensor([0], dtype=torch.int64)
        else:
            x,y = label.shape
            label_temp = zoom(label, (256 / x, 256 / y), order=0)
            _, bbox = find_and_draw_contours(label_temp, 0)
            box = torch.tensor(bbox, dtype=torch.float32)
            box_label = torch.tensor([1], dtype=torch.int64)

when training model, I get the error below:

AssertionError: All bounding boxes should have positive height and width. Found invalid box [0.0, 0.0, 0.0, 0.0] for target at index 1.
sharp ferry
#

any reference for above implementation ?

thorny knot
karmic badge
#

What else math i need to know for data science

#

?

wicked pivot
#

Hi Kaggle team I am a latino from Colombia, I would like to know if I can apply for the KaggleX Fellowship Program, thanks in advance cc @tight quail

mint yoke
#

I'm working on an unsupervised anomaly detection on fast furior transformed data, trained it on autoencoder but not luck , no expected real life results. So I'm now embedded those frequency using sinusoidal embedding and used transformer for training now problem is reconstruction error in training and test data almost same what to do ?
Do need to scale each fft individually to retain the fft structure or keep scaling globally?

severe cove
#

Torch or Tensor?

sharp ferry
dense bear
#

Hi! Can I run stable diffusion and kobold ai on kaggle without be banned?
I'm too recording a course about stable diffusion, can I use kaggle to teach and the students use without be banned? How it works?
Can I train checkpoints to stable diffusion on keaggle without be banned?

wicked berry
dense bear
wicked berry
#

Nice

dense bear
#

@wicked berry But both can generate nsfw content, this don't will banned?

empty current
dense bear
#

Yes, it's only for research

#

I'm asking because I have to notice the students

#

And kobold aí, for example

#

You can generate texts with violence, it will banned? Idk

#

And stable diffusion for example, some models are biased to nsfw, if I generate a image like this accidentally I will banned? Only asking to me know the better way

#

I found

#

It's prohibited nsfw for txt and images

#

I can run a content moderator to test the models to know if it have nsfw or not, must be sufficiently 🙂

tight quail
#

Hi @wicked pivot we're glad to hear that you are interested in the KaggleX program.

Colombia is an eligible country for the program. You can get started with the application process by first participating in the skill assessment challenge. Please visit kaggle.com/kagglex for more details.

timid crypt
outer mountain
#

I am worried I will not be able to work on the coding challenge because the database is taken down

tight quail
# outer mountain What happened to the KaggleX Skill Assessment Challenge? https://www.kaggle.com/...

Hi Ishan, the competition is still live, can you please try clearing your cache then use this link: https://www.kaggle.com/t/005ae82d6fda45a9a3048d900fd2eb17

If you continue to experience issues, please email us at kagglex-support-external@google.com. Thanks you!

cosmic olive
#

Hello, can I ask what should happen after sending the submission? I have send it but I didn´t receive an email and no message popped up after sending it. Thanks

tacit token
#

Hello guys, i see that Discord isn't very active, if you wanna joint a small group of active people let DM me please, Thanks

grim linden
pulsar crag
#

Same

#

Not able to access the challenge webpage

outer mountain
slate birch
pulsar crag
#

Hopefully they will fix it soon

short wedge
#

@outer mountain @cosmic olive @grim linden @pulsar crag @slate birch I can confirm the competition is currently inaccessible, we'll get it back online tomorrow once we understand what happened. Sorry for the inconvenience.

pulsar crag
#

Thanks @short wedge

outer mountain
grim linden
tight quail
#

@Ishan Mitra @Alonso Alarcón Aguilar @pkn_2018 @madarshbb @Raunak Kaushik

Hi all,
Thank you again for making us aware of the access issue. We've resolved the error and you should now be able to access the skill assessment, using this link: https://www.kaggle.com/t/005ae82d6fda45a9a3048d900fd2eb17. Please let us know if you still experience an error.

Again we apologize for the inconvenience.

empty current
#

Do I understand it right that I cannot surpass the novice stage without registering my phone number? Everytime I want to leave a comment somewhere, it tells me I need to add a phone number first.

rich haloBOT
#
archangel7431 has been warned

Reason: Bad word usage

unreal wave
#

Hi I am Imran. I am new to data science and want to start with you.

empty current
#

Hallo Imran!

south oracle
#

is doing ml supposed to feel this uncomfortable or am i just burned out? lol

outer mountain
#

I can now see the site is up and the deadline is updated to reflect 23rd as the deadline now. Thanks!

high canyon
#

@mellow sentinel Hi, I sent a message about teaming up for the RSNA competition but I think we have to be friended to dm

short wedge
#

@high canyon We paused DMs on the server to deal with a discord spam attack, you should be able to send DMs again in a couple of hours.

wicked berry
#

hello

dense bear
#

hi guys

#

I'm tryng run stabel diffusion on kaggle

#

when I open the local URL open a page and show me a message that the page refused the conection

#

I put the port on firewall windows and yet don't work

#

what can I do to corret this?

worthy portal
#

Hello guys I am Aaron! I am a college student who is interested in Data Science and AI. Currently I am looking into the uses of KANs in medical images

raven badger
#

Hello there! I am Sai, an ML engineer working on the arc-agi challenge. Excited to be a part of this discord community 🙂

karmic badge
#

Does feature engineering involves library like sklearn?

wicked berry
dense bear
#

hi

#

I'm trynt to run the stable diffusion

#

but when give me the link

#

the page instead of run the program give me this message

#

anyone knows how can I fix it?

wicked berry
#

New to the club.

obtuse creek
#

i had some issues saving the model in .h5 file type on kaggle , earlier i used to save it in .pkl , .keras type format but now its like we have to save only in the format .weights.h5

#

@coral hedge

#

@fair cliff @old kayak , sorry for the ping , its actually urgent for me

#

sorry again

old kayak
#

Yeah h5 has depreciated

#

Faced issues recently

#

.keras should work

#

Could you share a screenshot

#

Worst case, download your notebook, run it locally as a Jupyter notebook or on Google collab and save your model

obtuse creek
#

earlier it used to work

obtuse creek
old kayak
#

Oh cause you’re using save_weights(), this expects you to save the weights of the model alone, not the whole model

#

That needs to be saved into a weights.h5

#

Try model.save(“name.h5”)

#

Or model.save(“name.keras”)

#

These should solve your issue

fair cliff
#

@obtuse creek thanks for sharing this question here, one more question are you pinning the version of the packages you are using in your notebooks, this is a way to safe guard the notebook from breaking in case of changes in versions of underlying libraries used.
@old kayak good spot with the usage issue

fair cliff
#

model.save(“name.h5”)
Or model.save(“name.keras”)
Saves the whole model (meta data, weights, and other data that is model specific)

save_weights()
Saves only the weights so that it can be applied on top of any other compatible model(s)

Is this what the above APIs are doing @old kayak

supple agate
civic geyser
#

Hi everyone, I'm looking to learn more about data science and develop the skills for the profession. What would you guys reccomend me to follow? Should I try a specific online course, stick to youtube, or try a boot camp?

wicked berry
#

Books are great too

civic geyser
#

thank you, any books that you would reccomend?

dense bear
#

my stable diffusion on kaggle is pinging but dont open the page, any suggestion?

normal sonnet
dense bear
exotic stratus
#

Kaggle has a good hands on series to get you familliar with machine learning

#

besides that, deeplearning.ai has a good series by Andrew Ng who teaches machine learning from the ground up, building mathematical concepts and ideas that are cruical for ML.

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i'd suggest you start off with video lectures , try applying what you learnt on real world datasets on kaggle and try competitions. you might not do well initially, but keep learning and practising and you'll be an expert sooner than you'll know.

hasty prairie
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Hello, may I know when will KaggleX Fellowship Program be available for Vietnamese applicators?