NBA sports betting using machine learning

Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm

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.

Predict scores of NBA games using regularized matrix completion

Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.

Predicts Daily NBA Games Using a Logistic Regression Model

Reworked NBA Predictions (in Python)

🏀 predicting the NBA mvp (3/3 so far)

NBA game prediction model

NBA games' prediction

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.

Using decision tree and random forest models, predict the winner of an NBA regular season game

Analysis of NBA player stats and salaries of the 2016-17 for the 17-18 season

The NBA-Predictions Project uses Machine Learning to predict the score of NBA-games and the performance of individual players.

This simple program predicts the result of an NBA match. Uses Monte-Carlo simulation to give the probability of each team winning the matchup.

🔮 Predicting NBA games using statistics (65% accuracy so far)

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.

finding patterns in up down sequences

NBA players individual performance perdictions using Neural Networks. Comparison between LSTM and Feed Forward Architectures. Created by Meitar Bach, Mai Elenberg and Lior Ben-Ami

NBA Score Prediction