Learn Python with Basketball Data Sets 🏀🐍

In here, you'll find each of the datasets we use in the Learn Python with Basketball course off fantasydatapros.com. If you did not purchase our course and somehow found this repo, that's cool, the data is free to use.

Folders are organized by year and then section. All data is provided in CSV format.

By year:

2021 Season

This course relies on the nba_api package which you can find here: https://github.com/swar/nba_api

06-Data Munging

• nba_api 2021 leagueleaders season long player totals
• nba_api 2021 teamgamelogs individual game team stats

07-Data Visualization

• nba_api 2021 PlayerGameLogsindividual game stats for individual players

08-Shot Chart

• nba_api 2021 ShotChartDetail individual shots and locations

09-Linear Regression with Basketball

• nba_api 2000 - 2021 leagueleaders 20 years of season long player totals

10-Classification Algorithms

• CSV - MVPs
• nba_api 1980-2017 leagueleaders 40 years of season long player totals

11-Unsupervised Machine Learning

• CSV - 2021 Fantasy Pros Rankings