An API Client package to access the APIs for NBA.com
A scraper to scrape the NBA API and compile a play by play file
Python API for stats.nba.com
An easy-to-use Python utility to scrape basketball data off stats.nba.com.
Using the nba_api to delve into interesting statistics!
A full-stack web application that predicts player performance across MLB, NBA, and NFL using position-specific machine learning models. Features a React frontend with live predictions, Node.js API backend, and Python ML inference pipeline trained on historical player data with strict temporal validation to prevent data leakage.
3D visualization of basketball shots using plotly and NBA shot chart data
Generate shot charts of any NBA player, of any season in a simple and intuitive graphic interface using Python
Milwaukee Bucks Game Outcome Prediction using Tensorflow
Creating datasets to evaluate the most clutch NBA player of the season
Analyze and Predict NBA Players' Fantasy Scores
Python API for retrieving sports data from various known sources. Currently focused on MLB advanced metric data.
This program extracts data on several professional NBA players, and given a positive integer supplied by the user, the program is capable of creating pairs of players, in such a way that their heights in inches add up to the number supplied by the user. The code was written in Python.
Discord Bot with information about the NBA!
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