/Credit-Card-Default

This project was created to predict credit card defaults based on customer profiles, achieving a high ROC AUC score of 0.7882 The model analyzes borrower information, such as age, income, and financial indicators, to identify customers at risk of defaulting. The model was deployed to streamlit as a web app.

Primary LanguageJupyter Notebook

Stargazers