This repository contains a data analysis project on the Telco Customer Churn dataset from Kaggle. The goal of this project is to understand the factors that contribute to customer churn in a telecommunications company and make recommendations by building predictive models to identify customers likely to leave.
This project demonstrates the following topics using R:
- Data Cleaning/Manipulation
- Data Exploration
- Visualizations
- Predictive Modeling using Regression, Random Forest, and XGBoost
- Model interpretation
The dataset contains customer information such as demographics, service usage, and charges. It also includes a binary column indicating customers who left wihtin the last month (Churn).
Link: https://www.kaggle.com/datasets/blastchar/telco-customer-churn