This project aims to develop a machine learning model that can analyze customer data and predict whether a customer is likely to churn. By identifying potential churners in advance, organizations can take proactive steps to improve customer retention and reduce revenue loss.

Data Science Project (Understanding Classification Model Performance Metrics M5)