Here are
40 public repositories
matching this topic...
Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm
Updated
Jul 25, 2023
Jupyter Notebook
An R package to quickly obtain clean and tidy men's basketball play by play data.
Feature requests for the MySportsFeeds Sports Data API.
Short, offhand analyses of the NBA
Updated
Dec 9, 2018
OpenEdge ABL
Updated
Jun 7, 2024
Jupyter Notebook
2017 Example NBA basketball website using nba_py for people to learn how to use NBA Stats Python API.
Stattleship API Ruby client
Updated
Apr 23, 2017
Ruby
Updated
Sep 19, 2017
Haskell
Displaying team performance against player rotations during NBA games
Updated
Sep 18, 2020
TypeScript
NBA game prediction model
Updated
Oct 1, 2020
Python
Updated
Feb 7, 2023
Python
Python API for stats.nba.com
Updated
May 24, 2021
Python
Statistical model on NBA basketball players' performance using multiple linear regression and stepwise search.
Find basketball players with similar shot charts
Updated
Nov 23, 2017
Python
An easy-to-use Python utility to scrape basketball data off stats.nba.com.
Updated
Nov 30, 2018
Python
R package to interact with NBA api
Updated
Apr 16, 2023
JavaScript
web scrapes performed for Kaggle datasets.
Updated
Apr 20, 2023
Jupyter Notebook
Web application to see latest NBA news and stats
Updated
Feb 24, 2023
JavaScript
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