Bank Customer Churn Prediction by ANN

Getting more understanding about our dataset: This is a dataset for a bank which collects information about the customers RowNumber: is an irrelevant feature that we are going to get rid of in the future Customerid: is the identification key of each customer Surname: is the surname of each customer CreditScore: is the credit score of each customer Geography: means the country in which each customer lives in Gender: is the gender of each customer Age: is the age of each customer Tenure: means the number of the year(s) which customers in the bank Balance: means the amount of money that each customer has in their account NumOfProducts: the number of the product(s) that the customer uses like Credit cards, Master Card Etc, HasCrCard: means if the customer has the credit card, 1 means Yes and 0 means No isActiveMemebr: means if the customer is active or not which 1 means is an active customer EstimatedSalary: means the estimated salary of each customer # Target Exited: means if the customer exists at the bank or not, 1 means the customer left the bank