Telco Customer Churn

Telco Customer Churn Prediction

Developed a machine learning model to predict customer churn for a telecommunications company using customer demographic and service usage data. The project involved data cleaning, preprocessing, exploratory data analysis (EDA), feature engineering, encoding categorical variables, model training, and performance evaluation. The objective was to identify customers at risk of leaving and provide data-driven insights to support customer retention strategies.