NBA sports betting using machine learning
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Updated
May 4, 2024 - Python
NBA sports betting using machine learning
Predicts Daily NBA Games Using a Logistic Regression Model
Visualization and analysis of NBA player tracking data
Labelling NBA action using deep learning 🏀
An R package to quickly obtain clean and tidy men's basketball play by play data.
Stattleship R Wrapper
Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.
R wrapper functions for the MySportsFeeds Sports Data API
NBA game prediction model
Scraper for NBA data
visualization course project
Short, offhand analyses of the NBA
Web application to see latest NBA news and stats
R package to interact with NBA api
Analysis of NBA player stats and salaries of the 2016-17 for the 17-18 season
Being able to perform gameplay analysis of NBA players, NBA Predictive Analytics is a basketball coach's new best friend.
Displaying team performance against player rotations during NBA games
Feature requests for the MySportsFeeds Sports Data API.
🔮 Predicting NBA games using statistics (65% accuracy so far)
Using Python, R, and SQL with the 2014-15 NBA season data set. Our project imports the data set, merges with other files for cleaning & processing then puts the material into a machine learning algorithm
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