Skip to content

A Comparison Between Machine Learning and Logistic Regression Models Predicting the NBA MVP Winner Using Different Types of Statistics

Notifications You must be signed in to change notification settings

amritvignesh/NBA-MVP-Prediction-Model-Original-

Repository files navigation

NBA MVP Prediction Models

A Comparison Between Machine Learning and Logistic Regression Models Predicting the NBA MVP Winner Using Different Types of Statistics

Models

  1. Basic Statistics (PPG, APG, RPG, SPG, BPG, Wins)
  2. Advanced Statistics (PER, WS48, BPM, VORP)
  3. Basic & Advanced Statistics (above statistics combined)

Criteria

  • For basic statistics model, must have played at least 41 games with 20+ minutes in each
  • For advanced statistics model, must have played at least 820 minutes in a season

About

A Comparison Between Machine Learning and Logistic Regression Models Predicting the NBA MVP Winner Using Different Types of Statistics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages