Catalog projects marked with #data-science. Tags work as dedicated landing pages, so related tools are easier to find and connect.
This collection holds 7 projects with a combined 397,845 GitHub stars. Main languages: Jupyter Notebook, Python, Rust.
ML For Beginners is Microsoft’s classic machine learning curriculum: 12 weeks, 26 lessons, quizzes, and practical assignments.
Awesome Machine Learning is a large navigation list of machine-learning libraries, frameworks, and learning resources across languages.
scikit-learn is a Python machine learning library for models, metrics, preprocessing, and model selection.
pandas is a Python library for tabular data, time series, cleaning, aggregation, and analysis.
Python Data Science Handbook is Jake VanderPlas’s open book in Jupyter Notebook form for the Python data science stack.
Polars is a fast DataFrame engine written in Rust with APIs for Python, Rust, and other environments.
Data Science for Beginners is Microsoft’s beginner course for data science.
