The problem statement here is to predict churn from the bank customer dataset. Apply a suitable machine learning algorithm and predict which customers are most likely to leave the bank. Dataset The dataset is made up of following variables CustomerId Surname CreditScore Geography - country of customer Gender Age Tenure - Total number of years with bank Balance NumOfProducts - Number of products or services utilising from bank HasCrCard - Utilising credit card or not ( Card - 1 , No card - 0 ) IsActiveMember - Metric defining the member on the basis of his/her transactions ( Active - 1 , Inactive - 0 ) EstimatedSalary Exited - Left bank or not ( left bank - 1 , retained by bank - 0)