The goal of this project is to develop a machine learning model that can predict whether a customer will leave the bank based on various features provided in the dataset. This prediction will help the bank in identifying customers who are at risk of leaving, allowing them to take proactive measures to retain those customers.
Dataset: The dataset contains information about bank customers, including their credit score, location, gender, age, tenure, balance, number of products, credit card status, activity status, estimated salary, and whether or not they have exited the bank Read more