#🔍┊getting-started

1 messages · Page 2 of 1

lost kettle
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ill share u the exact sc of wahst the problem .. im just redoing everything again

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@civic raven

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ClientError: 429 RESOURCE_EXHAUSTED. {'error': {'code': 429, 'message': 'Resource has been exhausted (e.g. check quota).', 'status': 'RESOURCE_EXHAUSTED'}}

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this is the issue

tame perch
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while creating an API key, it is imperative to choose an imported project - which project to choose?

novel breach
civic raven
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When you are in google ai studio and you create an API key are you creating a new project at the same time?

restive sky
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How long does it take for the API to run? It's been going for longer than 12 seconds.

civic raven
restive sky
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I followed the steps, but it's still running. Yes I created the google api key from my google studio

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I clicked run and its still running

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made sure the checkbox was clicked

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I hit run in kaggle

civic raven
restive sky
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I'm at 1.3

lost kettle
restive sky
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I'd paste a pic but it won't let me do on here

lost kettle
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Same

civic raven
# restive sky I'm at 1.3
  1. If You Get Stuck

To restart: Select Factory reset from the Run menu. Then start running the cells from the beginning.

civic raven
# lost kettle im there
  1. If You Get Stuck

To restart: Select Factory reset from the Run menu. Then start running the cells from the beginning

#

some of the systems may be a bit slow right now, including:

Phone verification
ID verification (and related support tickets)
AI Studio API keys
Kaggle notebook creation
…and maybe a few others

restive sky
#

ok that makes sense! it ran in the end.... took 13 mins

lost kettle
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Ok I'll try

fathom solar
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@everyone
💬 My Conceptual & Deep Learning Questions for the Kaggle AI Agents Livestream

1️⃣ As AI agents become increasingly autonomous and goal-driven, how can we design incentive systems that keep their long-term behavior aligned with human ethics instead of just short-term reward optimization?

2️⃣ As AI agents get more goal-driven through incentive structures, how do we make sure their reward optimization doesn’t conflict with the broader ethical or social alignment we expect?
And if an agent gains the ability to modify its own mechanisms, how can we formally guarantee that these self-changes stay consistent with human-aligned objectives and don’t create unintended behaviors over time?

3️⃣ When agents start self-modifying their reasoning or learning mechanisms, what kind of formal or mathematical safeguards can ensure their updated versions remain predictable, stable, and still aligned with human objectives?

4️⃣ In multi-agent systems, how can we balance cooperation and autonomy—so that agents don’t end up competing or working against each other while still staying efficient and independent?

5️⃣ With the rise of deep reinforcement learning in multi-agent setups, how can we prevent emergent adversarial behaviors that arise from agents learning implicit competition through shared environments?

6️⃣ How can transformer-based architectures be adapted for continual learning within agent frameworks—so that agents can retain past knowledge while still adapting to new contexts without catastrophic forgetting?

✨ Thanks to the Kaggle and Google teams for hosting such an insightful course and livestream.
Really looking forward to hearing the experts’ thoughts on long-term safety, alignment, and the next wave of deep learning–driven agent architectures. 🚀

civic raven
# lost kettle Ok I'll try

some of the systems may be a bit slow right now, including:

Phone verification
ID verification (and related support tickets)
AI Studio API keys
Kaggle notebook creation
…and maybe a few others

lost kettle
#

The issue is still there

#

Resource exhausted ..

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Again ....

sand ivy
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I have followed all the steps properly and I also have previous experience in running jupyter notebooks in kaggle . I even trained many LLMs with image datasets. I have never faced resource issue. But today I am facing this Resource exhausted error. Is this because of kaggle platform or anything else? If anyone did complete it please guide me

Error:>>>>>
ClientError: 429 RESOURCE_EXHAUSTED. {'error': {'code': 429, 'message': 'Resource has been exhausted (e.g. check quota).', 'status': 'RESOURCE_EXHAUSTED'}}

humble monolith
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I too face this "Resource _Exhausted" debug after run the questions "What is the weather in London?"

sand ivy
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Hey, Do you have any subscription or are you using free tier API key? I am not sure whether it's happening because of API key or kaggle platform itself. If anyone used premium version api key please let me know

humble monolith
native musk
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@Mahendar Byra @humble monolith @lost kettle I am also facing this issue

lost kettle
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mine is solved

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so apparently terminal code is not working but if u go on and access the ui part

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it works

humble monolith
lost kettle
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deleted all api keys i had ade

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made *

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just dont stick with 2.3

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try factory resetting your kaggle sheet and then step by step do it again

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if the 2.3 section (specifically ) is not resolved. just skip that part do the other terminal cell ie do section 3 it should work

still pollen
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Since we are running multiple code and agents the key reaches it's limit

humble monolith
native musk
humble monolith
lost kettle
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could someone send the link to the yt channel

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the one which will go live in like 2 hrs

sand ivy
sand ivy
uncut abyss
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Hello all - I am in lesson 1B; I imported my GoogleAPI key as my "secret", which worked fine. All other fields run fine, but when I try to run the full multi-agent system, I get ClientError: 401 UNAUTHENTICATED. What am I doing wrong?

civic raven
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I don't think we are up to 1B. Aren't we in Day 1A?

sand ivy
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we have to do both I guess

sand ivy
civic raven
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What section are you in. eg: Section 2: Your first AI Agent with ADK or Section 1: Setup or Section 3: Try the ADK Web Interface?

lost kettle
solar bloom
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how to get started with the assignment anyone HELP!

sand ivy
sour hedge
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While executing "Day 1b - Agent Architectures" notebook, I get the error:

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ClientError: 429 RESOURCE_EXHAUSTED. {'error': {'code': 429, 'message': 'Resource has been exhausted (e.g. check quota).', 'status': 'RESOURCE_EXHAUSTED'}}

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I still have the quota in Kaggle..

sand ivy
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Bro it's about api key limit . Sometimes it's working , sometimes it's not working

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Try to do factory reset and new api key

glad herald
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Finally day 1 is done 🥳 If any one of you is facing this error: "Resource has been exhausted (e.g. check quota)", try to change the default prompt and try again.

sour hedge
sour hedge
dark flame
#

my kaggle doesnot update and not working with internet on

sand ivy
sour hedge
sand ivy
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Even I am facing the same issue in 1b. Don't worry it's because of api key resource limit

peak kestrel
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Yeah I am facing that too.

civic raven
#

some of the systems may be a bit slow right now, including:

Phone verification
ID verification (and related support tickets)
AI Studio API keys
Kaggle notebook creation
…and maybe a few others

finite idol
plucky summit
#

i cant verify my phone on kaggle wtd?

versed plover
#

same here

amber vale
upper wigeon
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I can verify my phone 📱 number

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I'm using both phone and pc

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Non of it working

misty flame
old plank
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I'm getting when i run the ai agent at 2.3? what should i do?

old plank
cinder lark
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i am at the end where it says "Next Step .. continue on to the next notebook to learn how to architect multiagent system" ... anyone can advise how to go to this next step.. the string is not hyperlinked for me to take me to the next step... using pc

amber vale
tidal hamlet
cinder lark
rapid temple
#

Hi,
is anyone here who can explain how this course works?
i expect to see hours of tutorial on live stream, not just hour.
should we just follow the day's assignments?

worn flare
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hey <

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i am not able to know what to do and from where can anyone guide

marsh imp
nova raft
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Finished with the first assignment Day 1a - From Prompt to Action. Thank you !

rapid temple
rich pawn
#

name is not defined
problem
halp me

earnest cedar
#

hello?

#

why skip the the MCP? help me on this?

shadow turtle
rich pawn
#

NameError Traceback (most recent call last)
/tmp/ipykernel_48/1012248524.py in <cell line: 0>()
----> 1 retry_config=types.HttpRetryOptions(
2 attempts=5, # Maximum retry attempts
3 exp_base=7, # Delay multiplier
4 initial_delay=1, # Initial delay before first retry (in seconds)
5 http_status_codes=[429, 500, 503, 504] # Retry on these HTTP errors

NameError: name 'types' is not defined

fast forum
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Hi

earnest cedar
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i all ready complete day-2 assigment."

short osprey
#

Day 2 done 👍

late granite
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got a question!! url_prefix = get_adk_proxy_url() part to run the adk-web server keeps giving me an error. why is that?

median rampart
#

Day 2 done

median rampart
dawn nimbus
idle oracle
#

Hi

bold parcel
vagrant cypress
#

hi

waxen pelican
median rampart
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Yes

median rampart
median rampart
fair shuttle
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hola

azure sand
#

സാധനം കയ്യിലുണ്ടോ? Looking for teammates from kerala. Anyone struggling to complete day 1 task, please DM

surreal flax
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Day 2 done !

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Looking for teamate from Europe, please connect!

sinful totem
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Hi can someone please guide me where to watch day 1 recording/

median rampart
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Its on yourube channel of kaggle at the playlists

marsh imp
hexed oracle
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well what about the assignments where to get them can any one help?

azure sand
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Dinu, From Kerala, India. Finally my own agent is ready. Try now : https://kkb-production.jupyter-proxy.kaggle.net/k/276269928/eyJhbGciOiJkaXIiLCJlbmMiOiJBMTI4Q0JDLUhTMjU2IiwidHlwIjoiSldUIn0..IczX7JGovhJpeIS6vA4PAA.kUJuvYgyPivALU94ICYzP83frW_0dEzdbvoEDCQjhK0ph3OD6879a-p3f6WdWq7Jyj3Ydgc1Uz1uCHELTjG4HKsTExyn5zJRUVZJNbKLHlovUfZiY_8U-VFA7O6M4jTniYWqGmaPQHF7O-_avIUy1ZoWDnx9HRIRurGTfYZcjVg_80T0OXagKjZRx8nRH1iMW4__2niB-O5-5eRp8pYKHG3PB8ym8EUtwrxIFLyBJQRKgoj6KkkuAeo08zXifQ3f.DnRSfNpgS6nx1ZcYq2xUqA/proxy/proxy/8000/dev-ui/

finite idol
honest goblet
#

Hello.. I am new to AI and working professional in SAP from canada. Can I team with someone whom I can learn together?

stray cipher
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Hi

misty lance
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Hello everyone. I'm BHagwati Prajapat from Rajasthan, India I'm fresher in AI but I have 3 years exprience as a software engineer

finite idol
calm locust
#

Hi

graceful wasp
#

Hello everyone

crude chasm
#

Hello @everyone

formal coyote
#

Hi

azure sand
#

Does anyone know how to download a score sheet and rank script in kaggle ? in Discord?

autumn crest
#

I've been working on an OS Python project called GitRecombo.
I'm trying to build an assistant for architecture brainstorming and research. It uses custom scoring (for repo health/novelty) and SBERT to dig up "hidden" GitHub repos, then feeds the best ones to an LLM to generate blueprints and ideas on how to combine them.
It's at v0.6, and still rough in some spots. I'd find it super helpful to get honest feedback, especially on the scoring approach and the LLM prompts.
If the idea sounds interesting and you want to help improve it (or even just criticize it!), you're more than welcome.
Here's the link:https://github.com/Daniele-Cangi/GitRecombo

finite idol
hollow owl
blazing ice
cunning raptor
# sinful totem Hi can someone please guide me where to watch day 1 recording/

https://notifications.googleapis.com/email/redirect?t=AFG8qyUaG53HzZHkkePR3mtaTVHtJtt6yRxa1ocQ4_2RImtbG7DweInAJkvkQ1-Ti00YnVQVlLTgpatKIzO5NI2zkV_5LxFU6pG31Xxi8n_rm-QTer0hgwJa35A1fOz9I2ZiC4F1ytpHjtoPTI6fLA4Hd-buNZ7LexwsHfkt9deK41Va7BJyEob5RK4UJMX65gIQ0tYiBw_3MHmrnBBzFaWJSQO5WnbGGhQBJKf8kjTpht48EFk0QrUR1wSlI1nXslBWZzXipnBCdChnV1wn79y6I3aph_sdmnIMLNGlJowO1Vrl7OmC9SBAgL8BM_UPgTYz&r=eJzLKCkpKLbS1y8vL9erzC8tKU1K1UvOz9UvTyxJzrAvs60KqShzrypIc9NNBwBpIxA-&s=ALHZ2r6nCPlkPQce0Y_jCSrPaHAV

indigo rampart
#

hi

lilac bridge
#

hi

swift notch
finite idol
dire saddle
#

Hello, I'm trying to run Day 1 notebook and looks like I have an issue with API key. How to connect AI Studio project and this course?

dire saddle
#

Is this related to AI course?

gaunt helm
twin vine
#

Hii All! I'm Surya Teja From Andhra Pradesh(India)

boreal vector
#

How do I submit the assignments although its optional

finite idol
tiny jungle
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Sorry, I'm starting late due to work. where the Whitepapers and all the materials to start working on all assignments and Capstone? thanks

tardy plinth
#

Hello @everyone 👋🏽 Any update on the certificate and next steps?

shadow vigil
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Anybody had issues with adding API secrets to their notebooks? I keep getting this error: 🔑 Authentication Error: Please make sure you have added 'GOOGLE_API_KEY' to your Kaggle secrets. Details: Unexpected response from the service. Response: {'errors': ['No user secrets exist for kernel id 100406751 and label GOOGLE_API_KEY.'], 'error': {'code': 5}, 'wasSuccessful': False}.

exotic narwhal
#

Hy everyone , we need a memeber for our team who have expertise in python and problem solving , and most importantly fully available and cooperative . DM me if you are interested

manic hornet
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Guys I am new to all this

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What should I start with and how?

warm nest
#

Hyy

coarse dock
#

Ok

viscid sun
viscid sun
brittle forum
agile flare
#

Sorry for late joining deu to my personal problem, please help me!

light robin
night moon
#

hello everyone is there any course on kaggle to learn Scikit-learn. or what would be the best way to learn it.

umbral umbra
#

Hello everyone! 👋

I’m excited to share my capstone project:

🛡️ SENTINELS – Multimodal Disaster Intelligence System
An AI-powered system for real-time disaster detection, severity analysis, risk prediction & interactive mapping.

🔗 Kaggle Notebook: https://www.kaggle.com/code/mukthanjalibonala/sentinels-multimodal-disaster-intelligence-agent

Connect with me on LinkedIn 👉 https://www.linkedin.com/in/mukthanjalibonala/

Would love feedback, suggestions, and support 🙏

Thank you! 💙

granite panther
#

I did the learn course for intro to pandas and machine learning and am in the middle of intermediate machine learning. I don't know what to do next since the rest of the courses could be too advanced, and I am not very familiar with machine learning to be able to code my own models for competitions. I would like some advice?

native apex
dense dome
#

Hi,
Shahid here,
I'M Data science and Business analyst student, in final year,
Can anyone please suggest me, on what project i can work on?

empty pecan
ionic mural
#

Hi @everyone
I am new to ML/AI domain, looking someone to learn with and make a transition.

wild spire
jade tangle
#

Hey everyone 👋
I’ve just completed my capstone project for the 5‑Day AI Agents Intensive Program (Google × Kaggle), and I’m excited to share it with you all!

🔗 Kaggle Notebook:
https://www.kaggle.com/code/hrishikeshkokate422/capstone-superai-agent

🔗 Capstone Submission & Write-up:
https://www.kaggle.com/competitions/agents-intensive-capstone-project/writeups/capstone-superai-agent

🎥Presentation Video:
https://www.youtube.com/watch?v=wYdPYceVmvo

🚀 Super AI Agent – Full Feature Highlights:

• Multi-agent architecture (ResearchAgent, PlannerAgent, CreativeAgent, AnalystAgent, RuthlessMentor)
• Live multi-input interface (text, image, audio)
• Dynamic reasoning & traceability – step-by-step decision logging
• Context & memory management – remembers past info across workflows
• Tool integration & orchestration – calls external tools/APIs automatically
• Real-world/practical use-cases – simulates realistic workflows
• Robust evaluation & fallback logic – handles edge-cases and ensures reliability
• Clean modular code & reusable pipeline – easy to extend/debug
• End-to-end demonstration – input → processing → output pipeline fully implemented

I had a great learning experience building this project!
If you like it or find it useful, I’d really appreciate it if you could upvote my submission. 🙏

alpine carbon
#

Hi Everyone,

#

I am looking forward to work together.

alpine carbon
#

If you are working on Day 2 Agent, do you need create another API key or use the previous used on Day 1?

plush marsh
#

Use the same one.
We're at #5dgai-q-and-a and other channels under that '5dgai category', keep it tidy.

unborn comet
maiden pebble
spare nacelle
#

hi

valid perch
#

Hi all, any recommedation for MMM/MTA course with capstone project?

toxic fulcrum
#

Hello Every One, I have started my Kaggle Data Sciences journey. Need support and guidance

wanton citrus
sonic cairn
#

hi i have started to learn data science need guidance

hard birch
#

Hi everyone 👋 I often face difficulties understanding Time Series Forecasting properly (both **concepts **and practical implementation), so if any kind-hearted person can help me by sharing good resources, Kaggle notebooks with well-structured markdown explanations, free books, or any beginner-friendly roadmap, it would be extremely helpful for me 🙏 Thank you so much in advance!

simple fiber
#

hi i have started to learn ai/ml and need guidance

static pasture
vapid smelt
clear yacht
#

Hello everyone

toxic meteor
#

Hi everyone — I’m new to Python and working through the Kaggle “Learn Pandas” course. I’ve gotten through the first few lessons but I’m starting to get stuck more often.

Where’s the best place to ask beginner questions? And is it okay to DM someone occasionally if I’m stuck, or should I keep questions in a channel?

fallow scaffold
vast iron
#

more often than not ppl answer them, although it takes a bit of time for someone to respond

toxic meteor
cunning sapphire
vapid smelt
#

Introduction to Feature Engineering
Why Feature Engineering Is Important
Feature engineering helps convert raw data into meaningful inputs for machine learning models. Well-designed features often improve model performance more than changing the algorithm itself.

What This Notebook Covers
This notebook is designed for beginners and explains:

  1. Handling missing values
  2. Encoding categorical variables
  3. Feature scaling
  4. Creating new features from existing data

Feedback
Feel free to share your thoughts or suggestions in the comments, and let me know if anything can be improved ☺️.

Notebook Link
https://www.kaggle.com/code/akshtjin/feature-engineering

copper canyon
#

where should i start from ?

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anyone help me 😭

whole totem
copper canyon
sharp basin
#

Do you really need to clean the dataset from kaggle or it's already clean?

regal crag
sharp basin
regal crag
rose phoenix
#

Hey everyone! 👋 I’m just starting my journey into Data Science and am looking to dive into my first few projects. Does anyone have recommendations on which Kaggle datasets or 'Getting Started' competitions are best for a total beginner? Also, if anyone is open to offering some mentorship or guidance, I’d love to connect. Thanks in advance!

plain radish
#

Hi! My name is Shivansh Sharma, and I'm a fourth-year
Machine Learning undergraduate with a strong focus on building practical AI solutions.

My core expertise lies in developing applications with LLMs, particularly building multi-agent and multi-modal systems.

I mostly work on the following related to AI:

  • Automation using Agentic AI
  • Chatbots, CMSs, and Human to Agent interfaces.
  • Fine tuning LLMs.
  • Synthetic data generation.
  • Multi agent cluster networks.
  • Web and Browser automation.
  • Content generation and processing pipelines.
  • RAG and external data processing.
  • Multi-modal Agentic workflows.
  • Automated website builders, tools.
  • Coding agents.
  • MCP servers.

Technologies and frameworks I have experience with:

  • Pydantic AI, CrewAI, Autogen, FastMCP, Neo4j, Redis, Langgraph.
  • Python, Typescript.

I also handle the full-stack development to run these applications, having experience with Typescript, Next.js and PostgreSQL.

I have a track record of working with clients and am confident in my ability to deliver high-quality work. I am currently seeking contract or internship roles where I can contribute to challenging projects in the AI and web development space.

You can view my portfolio of work on my GitHub: https://github.com/shivanshsharma8834

I would be happy to share my resume and LinkedIn profile. Thank you for your time and consideration.

lilac scaffold
#

Hello guys this is Sharan ,Do you guys have any crazy ideas for building let's Collab and do the project , let's do it together ,Network is networth 🤝

plain mulch
#

how likely is it to get by with some certifications, a killer portfolio, and really good network skills? i'm coming from a bachelor's in tv production and do a lot of youtube/twitch analysis so i'm looking to specialize in entertainment and media i think

clear yacht
#

I am thinking about building an amazing AI platform—something that no one has ever imagined or dreamed of. I lead a small AI team, but we are very strong. We've learned in the real world and are becoming increasingly powerful. If anyone wants to join our team or establish a long-term partnership, you are welcome anytime. But we are committed to having the ability to make it happen(require strong English Skill).

stoic shuttle
#

Please don't post the same thing in multiple channels.

warped sedge
#

Hi everyone 👋

I’m Gina. I work in the telecom space and have a strong interest in data analytics and data science, especially around KPIs, customer experience, and incentive systems. I spend a lot of time building and experimenting with Python scripts and governance models.

Right now I’m focused on designing a framework for call centers that prioritizes long-term trust and customer satisfaction instead of short-term retention metrics. I’m really interested in how measurement shapes behavior — and how poorly designed KPIs can unintentionally damage trust.

I’m also autistic (recently diagnosed as an adult), which honestly fuels my systems-thinking brain. I tend to analyze patterns, structures, and incentives deeply. I use AI tools to help structure ideas and build scripts, but the thinking and design are mine.

Looking forward to connecting and learning from everyone here.

gritty bough
warped sedge
# gritty bough appreciate neurodivergent ppl getting into builders space now 😄

Thanks! Well I didn't know I was till 4 weeks ago. But Kaggle helps me with my projects. I spend hours upon hours digging and analyzing and building scripts and transforming data. I've build a whole synthetic telecon business with employees customers and call interactions all based off statistical data gathered by Kaggle. It had to all be based on reality not fiction.

gritty bough
warped sedge
# gritty bough synthetic biz?

I built a synthetic business environment composed of customer-level, employee-level, and interaction-level data. The goal is to experimentally test how KPI frameworks behave under different structural conditions (volume shifts, incentive changes, data drift, etc.). I used public Kaggle datasets to approximate real-world churn, tenure, and service mix distributions, then generated synthetic records to simulate operational dynamics. It’s essentially a KPI stress-testing lab.

gritty bough
#

Sounds cool

gritty bough
warped sedge
warped sedge
#

I didn't get a message from ya. I don't care if you send me a DM at all. 😊

tacit flint
#

Hello everyone! I am a new graduate with Honors in Data Analytics here. I am looking for a group of people to start working with in further developing my skills. Would anyone have any pointers for where would be a good place to start? I look forward to hearing from you soon!

slow venture
novel pilot
slow venture
novel pilot
slow venture
#

🚀 Day 04 — DeepFake Detection Series
https://www.kaggle.com/code/anadiskt/dataset-exploration-robust-detection

Why 98% lab accuracy drops to 65% in real-world?
👉 Dataset generalization gap.

Covered:
• FaceForensics++ vs DFDC vs Celeb-DF
• Class imbalance handling
• Cross-dataset training strategy
• Balanced sampling pipeline

If you're building AI for security — this is critical 🔐

Would love your feedback 🙌

slow venture
#

🎥 Day 05 — Video Processing Fundamentals

Today I explore how videos are processed for deepfake detection — frame extraction, face tracking, and motion analysis.

Understanding spatial + temporal signals is key because deepfakes often create inconsistencies between frames.

Check it out 👇
https://www.kaggle.com/code/anadiskt/day-05-video-processing-fundamentals

Upvotes & feedback appreciated! 🚀

raven wagon
#

🚀 We’re Hiring: AI Engineer (Full-Time | Remote – India)

NavGurukul’s AI Learning Labs is building AI tools to impact 1 crore underserved students through technology-enabled learning.

📍 Location: Remote-first (with ~30% travel to campuses or Igatpuri HQ)

What you’ll work on:
• Build and experiment with AI solutions for learning at scale
• Design and deploy LLMs (GPT, BERT, open-source models)
• Work on RAG pipelines, vector search, prompt engineering
• Build evaluation frameworks, A/B testing, and model benchmarks
• Develop APIs (FastAPI/Flask) and production-ready AI systems
• Mentor engineers and contribute to AI strategy

What we’re looking for:
• Strong Python + AI/ML frameworks (PyTorch, TensorFlow, Hugging Face)
• Experience with LLMs, NLP, vector databases, prompt engineering
• Knowledge of MLOps, model deployment, monitoring
• Passion for building AI with real social impact

✨ Experience: 2+ years (all levels welcome)

🔗 Apply here: https://recruiterflow.com/navgurukul/jobs/295

If this excites you or someone you know — please share!
Let’s build technology that creates opportunities for millions of learners ❤️

severe bone
#

Hello everyone 👋

I recently reached Expert level in Kaggle Notebooks, and now my next goal is to reach Master level.

I mostly work with Deep Learning using PyTorch, and I enjoy building models and experimenting with architectures. I’m looking for project ideas or research-style notebooks that could help me create high-quality work for Kaggle and improve my DL skills.

I’m especially interested in:
• Deep Learning projects
• Computer Vision or NLP
• PyTorch-based implementations
• Interesting ML ideas are also welcome

If anyone has suggestions for projects, datasets, or Kaggle-style experiments that could help reach the Master level, I would really appreciate it.

honest oasis
#

Hi I'm Asino Fredrick. I'm interested in machine learning including deep learning and regression
I do statistical modelling and data analysis (EDA)--- I SPECIALIZE IN DATA SCIENCE 👍 I'm new here and I could use a few online friends

unique osprey
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Hi everyone, I’m Vedant Bhavsar from India. I’m currently pursuing a BCA and learning Machine Learning and Data Science. My main programming language is Python.

Right now I’m focusing on building ML projects, learning data analysis, and improving my understanding of EDA, model development, and deployment using tools like Streamlit and Flask. I’m still in the learning stage but actively working on projects and exploring real datasets.

I’m also looking for a study partner who is learning ML/DS so we can learn together, share progress, discuss concepts, and work on projects. Excited to connect and learn from this community.

honest oasis
unique osprey
small forge
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Hey everyone! I'm Vansh, a B.Tech student specializing in Artificial Intelligence and Data Science. I mainly work with Python and enjoy exploring areas like data analysis, machine learning, and predictive modeling. I like experimenting with different datasets, trying out new approaches, and improving my understanding of how models behave with real-world data.

Recently, I've been spending time building projects and exploring ML workflows — from data preprocessing and feature engineering to training and evaluating models. I'm also interested in applying AI to practical problems, especially in areas related to environmental data and analytics.

I'm here to learn from the community, discuss ideas, participate in Kaggle competitions, and collaborate on interesting projects. Looking forward to connecting with everyone and improving together. 🚀

finite zenith
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Heyo ! need some guidance on where I should start practising ( I think that, like many people, I have only watched and didn't actually practice the knowledge I have consumed )
If anyone can help me, that would be wonderful :)

small forge
quaint thicket
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Hi guys. I’m Rushil. I’m a first-year CS (AI/ML) student at MLR Institute of Technology in India. I’m preparing for a 2+2 transfer pathway to universities abroad and am currently looking for a summer internship. I’d love to connect with anyone who has gone through the transfer process or has advice on how to strengthen my profile and what the unversities expect from students like me. I would also like to know what kinda projects should i start doing to strengthen my cv. You can connect with me in discord (My linkedin is still a work in progress ). .Looking forward to being part of this community.

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Right now I'm working on a Python automation project using ChatGPT APIs and generally exploring ways to automate small workflows with Python. I'm also looking for a study partner or small group interested in improving their Python, ML fundamentals, or DSA fundamentals.

fleet vector
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Hi everyone 👋

I am Hrirake. I enjoy building AI systems and experimenting with local LLM infrastructure, workflows, and model orchestration.

Recently I built Native Lab, a fully local AI workflow environment powered by llama.cpp. It lets you run and connect LLMs on your own machine with visual pipelines, document reasoning tools, and multi-model experimentation - all privacy-first and offline.

I’m sharing it with communities like this because feedback from builders and researchers helps refine the tool. Sometimes the right idea just needs the right people to see it.

If you find it interesting, even a little support or feedback today might help the project reach someone tomorrow who can push it further.

Project page:
https://7zonesystems.github.io/NativeLab

Repo page:
https://GitHub.com/7zonesystems/NativeLab

Happy to exchange ideas, collaborate, or help anyone experimenting with local AI.

carmine chasm
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Hey everyone 👋
I’m a beginner in Data Science / Machine Learning and I’m looking for a study partner or small group to work on projects together.

Goal:
• Practice Skills and ML For a JOB/Intershipe
• Build portfolio projects
• Stay consistent with learning
.Participate in Kaggle Compitions
If you're also starting out and want to collaborate, let’s connect! 🙂

ebon bridge
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Hi everyone 👋
I’m Debangan Ghosh, a Computer Science (Data Science) student from SRM University AP currently also pursuing a Data Science minor with IIT Guwahati.
I’m actively learning Machine Learning, Deep Learning, and Data Science, and I recently reached Kaggle Code Expert where I regularly publish notebooks while documenting my learning journey.
Currently I’m focusing on:
Computer Vision
NLP & LLMs
Practical ML experimentation
I usually publish educational notebooks with clear explanations and reusable code, so other learners can also benefit.
Would love to learn from everyone here and contribute to discussions!
Kaggle (Upvote some notebooks 😅): https://www.kaggle.com/debanganghosh
LinkedIn: https://www.linkedin.com/in/debangan-ghosh/

marsh glade
coral socket
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@ebon bridge which year are you bro

tough hawk
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Hey everyone! 👋

I’m looking for a partner or small group to start working on Kaggle projects together. I have around 4 years of experience with Python and backend development, and I’m currently trying to get more hands-on with machine learning and Kaggle datasets.

I thought it would be more fun and motivating to learn with someone — maybe pick a dataset/competition, discuss approaches, and learn along the way.

If anyone is also starting out or wants a learning partner/accountability buddy, feel free to reply here or DM me 🙂

tight terrace
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Hey everyone! 👋

I’m Carol, final-year BSc Artificial Intelligence and Data Science student. I’ve worked on a few machine learning and data analysis projects during my university studies.

I’m new to Kaggle projects and competitions, but I’m really interested in learning more, improving my problem-solving skills, and building practical experience.

If anyone has suggestions for beginner-friendly competitions or projects, I’d really appreciate it. I’d also be happy to collaborate and learn with others here.

Looking forward to learning and growing in this community!

ebon bridge
hazy pasture
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hello, i studied finance in undergrad at the uorochester and looking to transition into data science. i have beginner level coding experience. i'm starting out on kaggle and would appreciate advice or suggestions to improve in the data science path. thank you:)

unkempt sundial
ebon bridge
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Hi everyone 👋

I just published two new Kaggle notebooks while learning Image Segmentation and Generative Models in Deep Learning. , This are Projects, so You know you can use them perfectly 😚

📌 Topic 1:
Medical Image Segmentation using U-Net
✔ Encoder-Decoder architecture
✔ U-Net implementation in PyTorch
✔ Medical X-ray lung segmentation
✔ Visualization of predicted masks
✔ Understanding pixel-level prediction
📊 Key Result:
Successful segmentation of lung regions from X-ray images.

Notebook link: https://www.kaggle.com/code/debanganghosh/medical-imaging-project-u-net-segmentatation

📌 Topic 2:
Building a Generative Model (GAN) from Scratch
✔ Generator vs Discriminator explanation
✔ GAN loss and adversarial training
✔ PyTorch implementation from scratch
✔ Generating handwritten digits from noise
✔ Visualization of generated samples
📊 Key Result:
DCGAN successfully generated realistic MNIST digits.

Notebook link:
https://www.kaggle.com/code/debanganghosh/build-generative-model-from-scratch-gan-dl

If you find them useful, an upvote on Kaggle would really help my learning journey 🙌

Happy to discuss improvements or suggestions!

stoic shuttle
rugged dagger
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code not working

unkempt sundial
ebon bridge
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Hi everyone 👋

I just completed a 10-Day Intensive Deep Learning Challenge and published multiple Kaggle notebooks documenting my learning journey.

📌 Topic 1:
Word Embeddings + LSTM for Sentiment Analysis

📊 Key Result:
~84% accuracy on the IMDB sentiment dataset.
Notebook link:
https://www.kaggle.com/code/debanganghosh/deep-learning-nlp-build-word-embeddings-lstm
📌 Topic 2:
Time Series Forecasting with LSTM
📊 Key Result:
Model predicts Apple stock trend using historical data.
Notebook link:
https://www.kaggle.com/code/debanganghosh/deep-learning-for-finance-lstm-stock-prediction
📌 Topic 3:
Transformer NLP from Scratch

📊 Key Result:
Built a transformer model for news classification.

Notebook link:
https://www.kaggle.com/code/debanganghosh/transformer-nlp-from-scratch-text-classification

If you find them useful, an upvote on Kaggle would really help my learning journey 🙌

Happy to discuss suggestions or improvements!

stoic shuttle
hard lark
pulsar meteor
past frigate
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hey guys how to get started on kaggle? i have ML knowledge as well but kaggle seems very overwhelming, can anyone help with a mini guide or smth

mystic trench
# past frigate hey guys how to get started on kaggle? i have ML knowledge as well but kaggle se...

its simple really, u say u have the knowledge already so just pick a getting started competition from competition section, join it, create a notebook then import the dataset into the notebook lastly run models and after preprocessing as for submissions checkout the sample_submission.csv in the data section of the competition. Try it once or twice u will get the hang of it .............still having issues check any of mine or someone elses competition notebooks to get a general idea

stoic shuttle
pallid dirge
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Hello I am stuck in lesson 7. I have done my last submission for lesson 7 but the exercise in lesson 7 remains unchecked. Please kindly help

vernal ember
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hey guys! i'm a cs student with some data analysis and ml knowledge, but i think i might be a good fit in data engineering 'cause i like the idea of making data clean and tidy for other teams. do you have any suggestions on where i could start?

wise hornetBOT
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chico6069 has been warned

Reason: Posted an invite

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chico6069 has been banned

Reason: Too many infractions

spice bridge
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Hello Everyone!
If you know someone who have good skills in Python and Machine Learning, Please invite me!

Our Company is open to hire Python and Software Engineer.

Requirements:
2+ years of Software Engineering Experience
C1 or Native English Level
Good vision of Software Trent

Benefits:
Competitive Income
Supporting Several roles and chances
Multiple Role Working is enable

Important:
Our company is designed for Capability Person.

Questions:
For Junior Persons?
Do not give up, strong enthusiasm is also big point and our company also focus on the person's enthusiasm.

Thanks again.
Sophia

spice bridge
#

Hello Everyone!
If you know someone who have good skills in Python and Machine Learning, Please invite me!

Our Company is open to hire Python and Software Engineer.

Requirements:
2+ years of Software Engineering Experience
C1 or Native English Level
Good vision of Software Trent

Benefits:
Competitive Income
Supporting Several roles and chances
Multiple Role Working is enable

Important:
Our company is designed for Capability Person.

Questions:
For Junior Persons?
Do not give up, strong enthusiasm is also big point and our company also focus on the person's enthusiasm.

Thanks again.
Sophia

hollow meadow
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are there any good guides / notebooks for data visualization and feature engineering to properly understand how to start working with any data in the first encounter

waxen heart
craggy kestrel
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hii

static solstice
edgy lark
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Hi, can anyone suggest what basics i need to learn for ML, im really really new here

abstract crypt
edgy lark
void ermine
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Check my bio 😁

quasi goblet
stoic shuttle
tawdry chasm
stoic shuttle
tawdry chasm
crimson fern
grizzled summit
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Hey all, does anyone has a roadmap on how to begin with AI and slowly build up on it, I feel overwhelmed with a lot of options available, thanks in advance!

stoic shuttle
nova idol
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ping

night galleon
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Hello everybody! I am new to kaggle and I love coding and learning about technology. I also like understanding AI and ML but I am new to all of this and need some help in further learning about them. If anyone would be kind enough to guide/help me in my journey.

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Thank you

coral socket
night galleon
urban yew
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🚨 STOP sending boring CVs.

If you want your dream career, you need to stop using basic AI and start using the STAR Method.

I made a quick reel showing:
✅ How to turn a "Boring CV" into a "Selected" CV.
✅ The prompt that Senior Recruiters actually love.
✅ The #1 mistake that gets you rejected immediately.

Get the prompt here:
https://www.instagram.com/reel/DYOrbw3zcxI/?igsh=MTAzdTg0dzQ1dTFnbg==

rough crane
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Hello! great minds 😀
I am a 3rd year ENTC student but i don't know how to align my ENTC degree with ai because ai is booming right now so if I add some skills related to ai in my resume then my resume will get more chances to be shortlisted
So, I want to ask you what types future proof skills I have to learn which I can use them in my electronics sector as well as in ai sector also right now I am learning programming languages (python,and DA in python ).

But I am very confused what to learn?and from where to learn?

That's why I come here and hope so I will get more ideas💡 from here.
Please help me guys to came out from the confused and directionless path to directioned path

sharp gulch
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Hello everyone, I am learning Ml/AI and also creating projects using it. I have 3 years experience in software engineering. Now I want to switch to Ml/AI field how can I do it and where I can find opportunity for it

chilly pier
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Anyone interested in building ai agents together

left sun
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Hi, could you please let me know when the training session will start?

quartz sigil
noble wigeon
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Where want to see

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Can you send anybody live Link

plush marsh
coral socket
chilly pier
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#python_for_everything

gray cradle
midnight peak
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I have already linked my kaggle account with discord ,yet i didnt recieved agent of discord badge on kaggle

austere sierra
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kinda sus bro

hidden trail
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wht do i do

warm mauve
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Heyy

austere sierra
austere sierra
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I think

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wait for course to start

wise hornetBOT
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vyapaariw has been warned

Reason: Posted an invite

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vyapaariw has been banned

Reason: Too many infractions

obtuse rock
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Hello Everyone, I am Kwesi. Looking forward to an exciting journey

sage coral
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Guys I want to learn more about ai agents , how to build them , how to train llm for tools , how llms automatically choose or call tools and much more about agents and secondly the MCP server for real time interaction and decision making

Pls share some.resoirces and give suggestions that will help me learn all this

quartz sigil
sage coral
quartz sigil
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I'll share a few resources, hold up

sage coral
quartz sigil
sage coral
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It means a lot to me

stuck pond
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Hey guys, I am an ambitious/motivated highschool senior but I'm pretty new to coding and data science. I am really interested in developing solutions for basic human problems and am looking to increase my technical skillset in order to do so. So far, I've learned the basics of Python and have completed the Intro to Programming, Python, and Intro to ML courses on Kaggle. Right now, I plan to improve at data science and software through Kaggle, and would love to connect with a mentor or someone to learn alongside. Any suggestions or tips are also appreciated.

modest sonnet
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Something I’ve been noticing while working on predictive analytics projects is how different model behavior can look once real-world data starts changing. During development, the evaluation metrics may look strong, but after deployment performance can slowly drift as customer behavior, business conditions, or incoming data patterns evolve over time.

What surprised me most is that deployment challenges are not only technical. If stakeholders do not trust or understand the predictions, they often ignore the model entirely, especially with more complex “black box” systems. Because of that, I’m starting to think simpler and more interpretable models sometimes provide better long-term value since they are easier to monitor, maintain, and explain.

Curious if others here have experienced something similar after moving models beyond experimentation and into production environments.

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Coming from a C#/.NET and SQL Server background, I’ve been noticing a real shift in how development work actually feels day to day. With tools like Cursor, Claude, and Gemini getting more capable, the bottleneck is less about writing code itself and more about judging whether what gets generated actually makes sense in the context of the system.

A lot of the time now is spent reviewing AI-generated code, catching subtle logic issues, or thinking about whether a query or implementation will still perform well at scale. In that sense, knowing syntax feels less important than understanding architecture, data flow, and the real business rules behind the system.

At the same time, I’m still trying to figure out what this means for newer developers entering the field. If AI can generate working code so quickly, building the intuition to evaluate that code before you’ve written enough of it yourself feels like a real challenge. I don’t think there’s a clear answer yet for how that learning curve should look.

I’m curious how others who’ve been in software development for a while are experiencing this shift. Does your value feel like it’s moving more toward architecture and system thinking, or is the change more gradual and less dramatic in practice?

devout heath
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🚀 Hey @everyone!

We’re building PromptGram and aiming to reach 150 GitHub stars ⭐

If you like AI, FastAPI, microservices, or developer tools, please check it out and support the project by starring the repo 🙌

GitHub Repo: https://github.com/dewangsahuji/promptgram

Every star really helps and motivates us to improve the project further 💙

wise hornetBOT
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faizih444_37886 has been warned

Reason: Posted an invite

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faizih444_37886 has been banned

Reason: Too many infractions

rich dust