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College Football Playoff Predictor

🌐 Kaggle Notebook

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Objective

A machine-learning based predictor for College Football Playoff outcomes built in a Kaggle notebook. The project uses historical college football data to model team performance and estimate playoff participation.

Technology used

  • Random Forest Classifier
  • XGBoost Classifier
  • Pandas, NumPy, Scikit-learn

Skills Developed

  • Data preprocessing and feature engineering from historical season data
  • Trains and evaluates a predictive model for CFP selection
  • Generates probabilities and comparative insights for playoff teams

View the Source Code