Home Credit Default Risk Prediction: Data Science Final Project
Best Group and Best Student Awarded for Data Science Final Project predicting Home Credit customer default risk. Involves data preprocessing, EDA, feature engineering, and ML with XGBoost & Stacking. Provides actionable insights to enhance credit risk management and reduce default rates. Project Overview The Data Science Final Project focuses on predicting the risk of customer default using […]
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