Sana Ur Rehman Arain

Machine Learning for Credit Risk Modeling: A Comparative Study of Traditional & Explainable AI Approaches

A comparative study of traditional machine learning and explainable AI (XAI) approaches for credit risk modeling. The project evaluates model performance alongside interpretability, demonstrating end-to-end data science and machine learning skills for educational and portfolio purposes.