An API Client package to access the APIs for NBA.com
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Updated
May 22, 2024 - Python
An API Client package to access the APIs for NBA.com
Data collection, processing, visualization, modeling, and ideation in the space of sports analytics
🏀 An application to build an NBA database backed by MySQL, Postgres, or SQLite
A simple yet comprehensive web scraper for kenpom.com.
Historical RAPTOR and other NBA data.
Player advanced stats and Elo ratings for WNBA history
The WeBall Statistics application is a league statistics application for basketball, which was created as part of the course "Apps development for Mobile Devices" (University of Macedonia - Applied Informatics, academic year 2021-2022, 6th semester)
A machine learning project to predict NCAA Men's Basketball outcomes
The WeBall Statistics application is a league statistics application for basketball, which was created as part of the course "Apps development for Mobile Devices" (University of Macedonia - Applied Informatics, academic year 2021-2022, 6th semester)
Extensive and Tidy NCAA Men's College Basketball Data
Python API for stats.nba.com
This is a python module to scrape basketball-reference.com and convert various stats into usable data structures for analysis
Machine Learning Predictor for NBA games that takes into account player stats, team stats.
Displaying team performance against player rotations during NBA games
Balln assists people with getting their favorite NBA team's most updated stats and future games’ ticket information.
Python package for filling in information about players on court in NBA play-by-play data.
Showing an NBA Dataset through interactive visualizations.
March Madness Tool
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