Topic: "nba-predictions"
saccofrancesco/deepshot
DeepShot is a machine learning model designed to predict NBA game outcomes using advanced team statistics and rolling averages. It combines historical performance trends with contextual game data to deliver highly accurate win predictions (71%)
Language: Jupyter Notebook - Size: 74.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 41 - Forks: 6
RohanPankaj/NBA-Prediction
The NBA-Predictions Project uses Machine Learning to predict the score of NBA-games and the performance of individual players.
Language: Jupyter Notebook - Size: 5.42 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 0
abzdel/NBA_Over_Under_Prediction_App
This repository contains an NBA over/under prediction app built with Python and Flask. The app uses machine learning to make predictions on the over/under bets for NBA games. The user can input information about a game and the app will provide a prediction on the over/under total.
Language: Python - Size: 361 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0
