NBA Stats API via Basketball Reference

Web application for plotting events on a sport's playing area with a single click, while keeping track of any other details. Supports download and upload of .csv files.

NBA Machine Learning and Market Analysis Tools

2017 Example NBA basketball website using nba_py for people to learn how to use NBA Stats Python API.

NBA Daily Fantasy Sports EDA and Player Modelling with R

Using machine learning libraries to analyze NBA data

This repo contains machine learning applications that use time-series forecasts to predict the probability of certain players winning the MVP award in the National Basketball Association

Calculating Regularized Adjusted Plus-Minus (RAPM) with R

Only NBA tweets from ESPN Stats & Info https://assafmo.github.io/nba-espn-stats-and-info

ST Blog ->

Extensible, Multi-functional back-end server for web applications based on Flask.

Watch free sports channels

NBA 2k and Stats Exploratory Data Analysis and Modeling. View project here: https://htmlpreview.github.io/?/~https://github.com/willyiamyu/nba2k_analysis/blob/master/nba.html

Web app that leverages Flask backend to pull wealth of data on NBA players in clutch circumstances directly from NBA.com and visualizes it in a comprehensible manner, allowing users to settle the age-old argument: who's more clutch?

The NBA data and Machine Learning

A collection of soundboards for Cleveland Cavalier commentators.

NBA database in C#

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