An end-to-end analysis of credit card default risk. I used Python for data cleaning and EDA, and built a two-page interactive dashboard in Tableau to present my findings and business recommendations. The live dashboard is linked in the README.

Prédiction du risque de non-remboursement d'un prêt pour la société Home Credit Group.

Investigations into the credit default dataset

Credit Default Prediction

This project is about credit payment defaults prediction using machine learning techniques based solely on payment data. By analyzing historical payment patterns, we aim to identify customers at risk of defaulting on their loans or credit payments, helping financial institutions in risk mitigation

Credit card default prediction model in Python's Scikit-Learn --- A comparison of logistic regression, random forest and XGBoost models