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This project analyzes customer churn using machine learning and exploratory data analysis. It identifies key factors influencing customer retention, builds a predictive churn model, and presents interactive business insights through visualizations. The workflow demonstrates data cleaning, feature engineering, model evaluation, and actionable recommendations to support customer retention strategies.