Data Science2025
Customer Churn Retention
A comprehensive machine learning solution for predicting customer churn in the telecom industry. The project involves extensive feature engineering, model selection, and evaluation to achieve optimal prediction accuracy, helping businesses implement effective customer retention strategies.
🚀
Technologies Used
Machine LearningPythonPandasScikit-learnClassification Models
Key Features
📊 Telecom customer churn prediction
🔧 Extensive feature engineering
🎯 Multiple classification models comparison
📈 Model performance optimization
Interested in this project?
Feel free to explore the code or reach out to discuss collaboration opportunities.