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

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