Final Project for DTSA 5509: Introduction to Machine Learning (Supervised Learning)

Dataset

The original data files are too large to upload to GitHub, but they are publicly available on Kaggle:

🔗 NFL Play-by-Play 2009–2016 Dataset

Project Structure

This project consists of two main components:

1. EDA & Cleaning Notebook

   • Ingests raw data
   • Performs exploratory data analysis
   • Cleans and prepares the data for modeling

2. Regression Analysis Notebook

   • Builds and evaluates logistic regression models
   • Optimizes predictors and model performance