Deutsche-Bank-Customer-Churn-Prediction-End-to-End-Analysis-and-Modeling Cyberoctane29 · COMPLETED

In this project, I aim to predict customer churn for Deutsche Bank using supervised machine learning. It involves data exploration, feature engineering, and building Naive Bayes, Decision Tree, Random Forest, and XGBoost models. Models are tuned, evaluated, and compared to identify the best approach for churn prediction.

github.com/Cyberoctane29/Deutsche-Bank-Customer-Churn-Prediction-End-to-End-Analysis-and-Modeling · ★ 1 · Forks 0 · Size 13.7 MB

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