kaggle.com

# Kaggle

Kaggle is an online community for data scientists, machine learning practitioners, and AI developers. Users can find and publish datasets, build models in a web-based data science environment, and enter competitions to solve data science challenges.

Important notes:

* Kaggle is more than just competitions; it also provides a vast collection of datasets, a cloud-based environment for data science called Notebooks, hubs for Models and Benchmarks, and a variety of courses.  
* The platform is gamified, with users able to earn performance-based rankings from Novice to Grandmaster.

## **Docs**

* [**Getting Started on Kaggle**](https://www.kaggle.com/docs/getting-started): This guide provides a step-by-step approach for beginners to navigate the platform, from choosing a programming language to entering your first competition.  
* [**Kaggle Competitions**](https://www.kaggle.com/competitions): An overview of the different types of competitions available on Kaggle, including "Getting Started" Competitions perfect for new users.  
* [**Kaggle Datasets**](https://www.kaggle.com/datasets): Find, download, and utilize the thousands of public datasets available on the platform for your projects.  
* [**Kaggle Notebooks**](https://www.kaggle.com/code): Kaggle's cloud-based coding environment, which allows you to run code without any local setup.  
* [**Kaggle Learn**](https://www.kaggle.com/learn): A collection of free, hands-on courses covering topics from Python and machine learning basics to advanced techniques like deep learning and SQL.  
* [**Kaggle Models**](https://www.kaggle.com/models): A repository of pre-trained models that are easy to discover, use, and integrate into Kaggle Notebooks and Competitions.  
* [**Kaggle Benchmarks**](https://www.kaggle.com/benchmarks): A collection of open, rigorous benchmarks and model leaderboards from top AI labs and researchers.
* [**Kaggle API**](https://github.com/Kaggle/kaggle-api): The official command-line tool for interacting with Kaggle competitions, datasets, and notebooks programmatically.
* [**KaggleHub**](https://github.com/Kaggle/kagglehub): A Python library that provides a simple API to access Kaggle resources like models and datasets from anywhere.