Can I read Customer Churn Prediction with ML on EtoBox?

Customer Churn Prediction with ML by priyashanthi2004 is a document available to read on EtoBox.

What is Customer Churn Prediction with ML about?

The project focuses on predicting customer churn in a telecom company using historical data and machine learning models, specifically leveraging the Kaggle Telco Customer Churn dataset. Key methodologies include data cleaning, exploratory data analysis, and model development using Logistic Regression, Random Forest, and XGBoost, with XGBoost achieving the highest accuracy of 82%. Future work includes integrating real-time dashboards and exploring deep learning for enhanced predictions.

Author

priyashanthi2004

Language

EN