Programming-AI/
│
├── AF4/
│   ├── README.md               # AF4: Normalizing Data
│   ├── data/
│   │   └── amazon.csv          # Input dataset
│   ├── results/
│   │   ├── products.csv        # Normalized products data
│   │   ├── categories.csv      # Normalized categories data
│   │   ├── users.csv           # Normalized users data
│   │   └── sales.csv           # Normalized sales data
│   ├── main.py                 # Main script orchestrating the process
│   ├── processing.py           # Module for initial processing
│   └── normalization.py        # Module for data normalization
│
├── AF6/                        # AF6: Supervised Learning (Breast Cancer Diagnosis)
│   ├── README.md               # Documentation & Methodology
│   └── cancer_model.py         # Logistic Regression script
│
├── Final_Project/              # Final integrative project (Digit Classification)
│   ├── data/
│   │   └── digits.csv          # Dataset file
│   ├── figures/                # Visualizations generated
│   │   ├── class_distribution.png
│   │   ├── confusion_matrix.png
│   │   └── sample_digits.png
│   ├── notebooks/
│   │   └── Final_Project.ipynb # Main Jupyter Notebook
│   ├── results/                # Model metrics and logs
│   │   ├── classification_report.txt
│   │   ├── confusion_matrix.csv
│   │   └── metrics.txt
│   ├── src/                    # Modularized source code
│   │   ├── evaluation.py
│   │   ├── modeling.py
│   │   └── preprocessing.py
│   └── README.md               # Project documentation
│
├── Extra_Class_Activities/     # Additional or optional activities
│   ├── README.md
│   └── examples/               # Example scripts
│
└── requirements.txt            # List of Python dependencies