A machine learning project for credit risk prediction using the UCI Default of Credit Card Clients dataset. The model predicts whether a client will default on their credit card payment based on their demographic, payment history, and bill statement data.
An end-to-end credit risk modeling pipeline using LendingClub data, covering feature engineering, PD modeling, scorecard development, validation, monitoring, and Basel-style LGD, EAD, and Expected Loss estimation.
Add a description, image, and links to the creditriskmodeling topic page so that developers can more easily learn about it.
To associate your repository with the creditriskmodeling topic, visit your repo's landing page and select "manage topics."