This repository contains a comprehensive notebook for predicting customer churn using the CatBoost algorithm. The notebook includes data preprocessing, feature selection, model training, and evaluation steps, along with insightful visualizations.
Customer churn prediction is crucial for businesses to retain customers and maintain steady revenue. This project utilizes CatBoost, a powerful gradient boosting algorithm, to predict customer churn based on various features.
Please check out the medium article for more details and explanation: Link