NBA sports betting using machine learning
Visualization and analysis of NBA player tracking data
🏀 An application to build an NBA database backed by MariaDB/MySQL, Postgres compatible databases, or SQLite.
Labelling NBA action using deep learning 🏀
Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.
Predicts Daily NBA Games Using a Logistic Regression Model
An R package to quickly obtain clean and tidy men's basketball play by play data.
Stattleship R Wrapper
Feature requests for the MySportsFeeds Sports Data API.
Short, offhand analyses of the NBA
Tools to help developers and data scientists in sports
Python package for filling in information about players on court in NBA play-by-play data.
R wrapper functions for the MySportsFeeds Sports Data API
Using AI to predict the outcomes of NBA games.
This repository contains CSV files containing comprehensive NBA data spanning from the year 2010 to 2024, offering valuable insights into player statistics, team performances, game outcomes, and more.
NBA API Documentation
NBAShotTracker is a data visualization tool to track player shot performance.
stats.nba.com library 🏀
NBA game prediction model
Displaying team performance against player rotations during NBA games
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