Python Data Science Handbook: full text in Jupyter Notebooks

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Data and code behind the articles and graphics at FiveThirtyEight

fast.ai Courses

📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.

Tutorials for some common NBA stats questions in both python and R

Scripts to collect and analyze basketball data

A model for learning distributed representations of MLB players.

Python for scraping and processing tennis match data from the ATP Tour website.

Building a shot probability model from NBA shot chart data

Generating shot, foul, and assist charts

A collection of python notebooks exploring popular methods for rating sports teams (and other things)

NBA Draft Combine Analysis

Jupyter Notebook to produce static and animated win probability charts from nflscrapR data.