Bank Churners

Analyzed customer behavior to identify factors driving churn in a banking dataset. Performed data preprocessing, exploratory analysis, and feature engineering to detect high-risk segments. Built machine learning models (Logistic Regression, Random Forest, XGBoost) to predict churn with high accuracy and proposed strategies for improving customer retention.