Skip to content

Latest commit

 

History

History
6 lines (4 loc) · 476 Bytes

README.md

File metadata and controls

6 lines (4 loc) · 476 Bytes

customer-retention-prediction

an implementation of ann-based model to predict customer retention

Dataset Description:

There are different attributes of a customer: CustomerId, Surname, CreditScore, Geography, Gender, Age, Tenure, Balance, NumOfProducts, HasCrCard, IsActiveMember, EstimatedSalary, and Exited. The Exited attribute is the target variable which is binary and relfects whether the customer left the bank (closed their account) or continues to be a customer.