Eric Everett
Group 2 Dataset

Code Structure

    main.ipynb: The primary Jupyter Notebook to run the entire project. It contains cells categorized by functionality (e.g., Logistic Regression, SVM, imports, etc.).
    utils/: A folder containing custom utility modules. All algorithms, logic, and computations are implemented here.
        create_data.py
        lr_and_svm_classification.py
        fnn_pca_classification.py
        cnn_classification.py

Instructions

    Run the Project: Open main.ipynb in a Jupyter environment. Execute the cells in sequence for smooth functionality.
    Outputs: All outputs, including print statements and plots, are displayed within the Jupyter Notebook environment. No outputs are saved automatically.

    I ran this code on my local machine, however, if you do not have a local machine that can handle the neural networks then using a SOL Juptyer interactive sesssion will work. Make sure that utils and main.ipynb are in the same directory.