Using AI to predict the outcomes of NBA games.

NBA sports betting using machine learning

Predicting NBA regular season standings for the 2024-2025 season

NBA games' prediction

Quantifying NBA player interactions

Predicts Daily NBA Games Using a Logistic Regression Model

NBA Score Prediction

🏀 predicting the NBA mvp (3/3 so far)

Python scripts that can be used to identify outstanding players for a given season as well as predict the output of a game given two teams

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

The NBA game prediction using multiple classifiers and multiple feature sets along with a comparative analysis of the same. Web scraping techniques are used to scrap around the past 10 years data from the official nba/stats website to perform feature engineering for the classification problem.

A comparative study of various models for prediction of Win/Loss of a basketball game based on the team’s as well as players’ past statistics. Also focused on the web scraping techniques to scrap raw datasets from the nba/stats website and feature engineering on the collected datasets to best suit the classification problem.

Analyze and Predict NBA Players' Fantasy Scores

NBA game prediction model

Reworked NBA Predictions (in Python)

Predict scores of NBA games using regularized matrix completion

python program that lets you make two teams of any combination of current players and predicts the outcome based on latest stats. Uses BeautifulSoup and pandas libraries.

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