This repository contains a machine learning project for predicting customer churn using historical data. It applies various classification algorithms to analyze customer behavior, identify key indicators, and compare model performance to provide insights for retention strategies.
From the README
📊 Customer Churn Prediction Model A Machine Learning project that predicts whether a customer is likely to churn (leave the service) based on historical customer data. This project applies multiple classification algorithms and compares their performance to identify the best predictive model. 🚀 Project Objective Customer churn is one of the biggest challenges for subscription-based businesses. The objective of this project is to: Analyze customer behavior Identify key churn indicators Build predictive classification models Compare model performance Provide business insights for retention strategies 📁 Repository Structure 📦 Customer-Churn-Prediction ┣ 📜...
Skills
- Jupyter Notebook
