A web application that predicts whether a credit card application will be approved based on applicant information using XGBoost. Built with Streamlit for interactive visualization and prediction.
- Predict approval based on:
- Age
- Annual Income
- Employment Status
- Years at Current Job
- Number of Dependents
- Debt-to-Income Ratio
- Existing Loan
- Credit Score
- Interactive sidebar to input applicant data
- Visual representation of Credit Score vs Income for approved and rejected applications
- Uses a synthetic dataset of 10,000 applicants
- Python
- Streamlit
- XGBoost
- Pandas
- Seaborn
- Scikit-learn