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telco-churn-prediction-mlops

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Production-ready ML pipeline for telco customer churn prediction using advanced ensemble methods (XGBoost, CatBoost, Random Forest). Handles class imbalance, provides business insights, and includes modular MLOps architecture. Built with scikit-learn, featuring comprehensive EDA, feature engineering, and business impact analysis.

catboostdata-preprocessingensemble-methodsfeature-engineeringmachine-learningmlopspipeline-developmentpythonrandom-forestscikit-learn
Creat：2025-08-20T23:18:41
Update：2025-09-15T21:54:00
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