bank-marketing-streamlit-app
├── src
│   ├── app.py                      # Main Streamlit application
│   ├── model.json                  # Trained XGBoost model
│   ├── train_model.py              # Model training script (optional)
│   ├── data
│   │   ├── bank.xlsx              # Main dataset 
│   │   └── __init__.py            # Data loading and preprocessing functions
│   ├── utils
│   │   └── __init__.py            # Utility functions (if any)
│   └── visualizations
│       └── __init__.py            # Visualization functions (feature importance, ROC curve, etc.)
├── requirements.txt               # List of dependencies
├── README.md                      # Project documentation
├── LAPORAN_KELASCUPNVJ            # Report
├── MODEL_KELASCUPNVJ              # The main model use
└── KODE_KELASCUPNVJ               # Development code

    Note:
    The contents of MODEL_KELASCUPNVJ and KODE_KELASCUPNVJ are the same (there is no difference)