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Customer Churn Prediction
PythonScikit-learnPandasSeabornJupyter
Impact
91.33% prediction accuracy
Problem
Identify which customers are likely to churn to enable proactive retention.
Approach
Analyzed customer behavior patterns using statistical methods. Applied Logistic Regression and Random Forest with feature engineering.