Bank Churn Prediction
Industry
Banking
Client
Service
University Project
Date
2024
Banking Customer Churn Prediction. A machine learning project to determine whether a customer will churn or not using a banking dataset. For pre-processing label encoding and standardization have been applied. Random Forest model achieved the highest accuracy of 92.58%. K-fold validation has been performed for performance validation



