Churn Detection Modeling

The purpose of this project was to develop a logistic regression model that would predict whether a customer would renew a product subscription. This is called customer churn. We used Synthetic Minority Oversampling Technique (SMOTE) to balance our data, and we used a 5-fold, Stratified K-Fold Validation with Logistic Regression for the actual model.