Basketball Tournament Prediction Analysis

https://wsb.wharton.upenn.edu/wharton-data-competition/

This repository contains a data science project focused on analyzing college basketball games and developing predictive models for tournament outcomes.

Project Overview

1. Team Rating Systems

   • Elo Rating with adjustments for home advantage and match statistics
   • Whole History Rating (WHR)
   • KenPom-style efficiency ratings

2. Game Prediction Models

   • Logistic Regression
   • XGBoost
   • Random Forest
   • Gradient Boosting
   • Support Vector Machines
   • Ensemble model combining multiple approaches

Requirements

• pandas
• numpy
• scikit-learn
• XGBoost
• matplotlib
• seaborn