Summary
Kaggle is a community for machine learning and data science with resources including datasets, notebooks, models, competitions, courses, and forums.
Abstract
Kaggle is a platform for machine learning and data science that offers a wide range of resources for users of all levels. The community-driven site includes various public datasets, notebooks with powerful GPU/TPU capabilities, pre-trained models, competitions co-hosted by research organizations and companies, and courses with the opportunity to earn certificates. Kaggle's forums also provide a space for users to ask questions and connect with others in the field. The platform caters to a diverse global community, aiming to create an inclusive data science environment.
Bullet Points
- •17M+ users from over 190 countries
- •312K datasets: FitBit Fitness Tracker Data, International football results, arXiv dataset, 2022 Russia Ukraine War data
- •1,033K notebooks: Home Credit 2024 Starter Notebook, EfficientNetB0 Starter, HMS - Harmful Brain Activity Classification, ⚡Enefit│XGBoost│starter⚡
- •2,700 pre-trained models: Gemma, Llama 2, GemmaKeras, Segment Anything Model
- •27,000 competitions: AI Mathematical Olympiad, LLM Prompt Recovery, Home Credit - Credit Risk Model Stability, The Learning Agency Lab - PII Data Detection
- •4,000 solution write-ups: 1st place solutions for Quora Question Pairs, Web Traffic Time Series Forecasting, Porto Seguro’s Safe Driver Prediction, Mercari Price Suggestion Challenge
- •70+ hours of courses: Intro to Programming, Python, Intro to Machine Learning, Pandas
- •Kaggle's forums for ML discussions and support