This project provides a robust comparison of machine learning models to determine the most effective approach for customer churn prediction. It includes actionable insights for improving customer retention strategies, backed by data and predictive analysis.
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This project provides a robust comparison of machine learning models to determine the most effective approach for customer churn prediction. It includes actionable insights for improving customer retention strategies, backed by data and predictive analysis.
Zahid-coder-17/ChurnPredict-A-Comparative-Analysis-of-ML-models
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This project provides a robust comparison of machine learning models to determine the most effective approach for customer churn prediction. It includes actionable insights for improving customer retention strategies, backed by data and predictive analysis.
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