nba-prediction
Here are 57 public repositories matching this topic...
Language:All
Sort:Most stars
NBA sports betting using machine learning
- Updated
Dec 21, 2024 - Python
Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm
- Updated
Jul 25, 2023 - Jupyter Notebook
A project to deploy an online app that predicts the win probability for each NBA game every day. Demonstrates end-to-end Machine Learning deployment.
- Updated
Mar 1, 2025 - Jupyter Notebook
Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.
- Updated
Aug 9, 2024 - Jupyter Notebook
Predict scores of NBA games using regularized matrix completion
- Updated
Mar 1, 2019 - Python
Predicts Daily NBA Games Using a Logistic Regression Model
- Updated
Dec 8, 2022 - Python
Using AI to predict the outcomes of NBA games.
- Updated
Jan 11, 2025 - Python
NBA game prediction model
- Updated
Oct 1, 2020 - Python
Using decision tree and random forest models, predict the winner of an NBA regular season game
- Updated
Jun 7, 2018 - Jupyter Notebook
🏀 predicting the NBA mvp (3/3 so far)
- Updated
Jun 13, 2022 - Python
NBA games' prediction
- Updated
Feb 7, 2023 - Python
Analysis of NBA player stats and salaries of the 2016-17 for the 17-18 season
- Updated
Aug 10, 2017 - Python
Use of Machine Learning tools with Python to observe the patterns in the logic of the MVP choice, verifying which are the most important statistics in this award.
- Updated
Sep 29, 2022 - Jupyter Notebook
The NBA-Predictions Project uses Machine Learning to predict the score of NBA-games and the performance of individual players.
- Updated
Oct 27, 2022 - Jupyter Notebook
🔮 Predicting NBA games using statistics (65% accuracy so far)
- Updated
Mar 7, 2021 - Python
finding patterns in up down sequences
- Updated
Dec 13, 2022 - JavaScript
Jupyter notebook that outlines the process of creating a machine learning predictive model. Predicts the peak "Wins Shared" by the current draft prospects based on numerous features such as college stats, projected draft pick, physical profile and age. I try out multiple models and pick the best performing one for the data from my judgement.
- Updated
Apr 17, 2018 - Jupyter Notebook
This simple program predicts the result of an NBA match. Uses Monte-Carlo simulation to give the probability of each team winning the matchup.
- Updated
Nov 29, 2019 - Java
Improve this page
Add a description, image, and links to thenba-prediction topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with thenba-prediction topic, visit your repo's landing page and select "manage topics."