Nba Game Predictor Github, Project Goal The purpose of this project is to create a machine learning model that can accurately predict the outcome of NBA games using boxscore statistics from the past 10 seasons. The resulting dataset was put in a SQLite database that contains: 3 tables (game_info, player_stats, team_stats) 341,669 observations and 46 columns of data across 11,979 NBA games. If you want more informations about this api endpoint feel free to go on the nba_api GitHub repo that documentate each endpoint : link Mar 3, 2025 · GitHub Gist: star and fork AshwinD24's gists by creating an account on GitHub. Aug 14, 2025 · 🏀 NBA Game Predictor This project is an end-to-end data science pipeline that predicts the winners of NBA games using machine learning. Demonstrates end-to-end Machine Learning deployment. The goal of this project is to: use team statistics or players’ statistics and analysis for predicting who wins games (by leveraging the players statistics and team statistics from the 2015-2019 season to predict the winners of NBA games for the 2019-2020 season). You can find more details about data collection in my GitHub repo here : nba predictor repo. Our neural network models predict match winners, total points, and spreads with full probability distributions. Bet on the 2026 NBA Finals online with the best betting odds & promotions at Stake today! Browse latest NBA news & basketball betting markets here. Discover the top games and apps for iPhone, including Peacock TV: Stream TV & Movies, Paramount+, ChatGPT, Kalshi: Trade the Cup on the App Store. 85pe, hxkek, iq2, yteo, mkn, cj2, 3h, ak, dke, 7muk,