This is a curated collection of resources, tools, and learning materials for data science, covering topics like machine learning, deep learning, data visualization, and analytics. Developers and data scientists can use it as a reference guide to find libraries, tutorials, and best practices for solving real-world problems with data. It's organized as an awesome list, making it easy to discover relevant projects and educational content across the data science ecosystem.

4 open issues · last updated Jul 22, 2026