🧠 Credit Card Default Prediction

Built a machine learning model to predict whether a customer will default on their credit card bill.

📌 Problem

Given demographic and financial data, predict customer default.

🛠️ Tools & Models

• Logistic Regression
• Random Forest
• XGBoost
• GridSearchCV for hyperparameter tuning

🔍 Results

• Accuracy: 85%
• Precision/Recall tradeoff analyzed
• SHAP values used for model explainability

Tools: Python, Scikit-learn, XGBoost, SHAP