NBA sports betting using machine learning

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.

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

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

Predict scores of NBA games using regularized matrix completion

AI-powered NBA game outcome predictor that uses advanced team stats and trend-based features to forecast winners and track model performance

Predicts Daily NBA Games Using a Logistic Regression Model

Using AI to predict the outcomes of NBA games.

Reworked NBA Predictions (in Python)

NBA game prediction model

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

🏀 predicting the NBA mvp (3/3 so far)

NBA games' prediction

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

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.

🔮 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

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 sports betting app using machine learning