Bank Customer
Churn Prediction

• Data Source:  Kaggle
• Date:  March 2025

Churn Prediction

This project predicts customer churn in the banking sector using machine learning. After preprocessing the data, models such as Logistic Regression, Decision Tree, and XGBoost were trained. The XGBoost model achieved the highest accuracy at 85.05%, helping identify at-risk customers and develop retention strategies.