🔍 Customer Churn Prediction for Banking Professionals This project leverages machine learning to predict customer churn, analyze risk factors, and help banking professionals retain valuable customers through personalized engagement strategies. Key features include advanced churn prediction models, risk factor explanations, tailored emails

This project is a data-driven dashboard designed to help Santander Bank analyze customer churn and implement an early warning system to identify at-risk customers. The app integrates machine learning models for churn prediction and customer segmentation, providing actionable insights for retention strategies.

A machine learning project for predicting customer churn, enabling businesses to identify at-risk customers and develop retention strategies.