Bank Churns

This project focuses on predicting bank churn, employing machine learning techniques to identify patterns and factors contributing to customer attrition. By analyzing customer data, such as transaction history, demographics, and customer behavior, the aim is to develop predictive models that assist banks in proactively addressing customer retention strategies and minimizing churn rates.