Customer Churn Prediction
Machine learning model to predict customer churn using ensemble methods with 94% accuracy.
Project Overview
This project focuses on predicting customer churn for a telecommunications company using advanced machine learning techniques. Customer churn prediction is crucial for businesses to identify customers who are likely to cancel their subscriptions or stop purchasing to take preventive actions and reduce revenue loss.
94%
Accuracy
92%
Precision
89%
Recall