NBA sports betting using machine learning
Visualization and analysis of NBA player tracking data
🏀 An application to build an NBA database backed by MariaDB/MySQL, Postgres compatible databases, or SQLite.
Labelling NBA action using deep learning 🏀
Predicts Daily NBA Games Using a Logistic Regression Model
Using AI to predict the outcomes of NBA games.
Tools to help developers and data scientists in sports
A sport predictions full-stack application that generates betting recommendations & data on Prize Picks using linear regression.
NBA game prediction model
Interactive exploration of NBA roster turnover
Being able to perform gameplay analysis of NBA players, NBA Predictive Analytics is a basketball coach's new best friend.
The NBA Statistics Dashboard is an innovative and user-focused project that harnesses daily data scraping to create a dynamic platform for sports bettors, NBA enthusiasts, and fantasy league participants.
🔮 Predicting NBA games using statistics (65% accuracy so far)
Analysis of NBA player stats and salaries of the 2016-17 for the 17-18 season
ShotGeek is an open source, NBA statistics and comparison platform built in Django.
A NBA player data explorer web app in Python using the Streamlit library
Machine Learning Technion Course Final Project - NBA Teams Playoffs Qualification
WebScraping NBA's Asian Handicaps and Over/Unders from OddsPortal, to evaluate the accuracy of NBA odds market
NBA Sports Stats and Analytics Application Utilizing the nba_api. Python, Flask, PostgreSQL, psycopg2
Advanced NBA odds tracking, betting analysis, and trivia MCP server for Claude Desktop with line movement detection and AI/ML game simulations
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