Churn prediction and Analysis

The Customer Churn Prediction and Analysis project involves building a machine learning model to predict

customer churn. This project utilizes data science techniques such as data collection, exploration, feature

engineering, machine learning, and model deployment, with the goal of identifying customers at risk of

leaving and enabling the company to take proactive retention measures