The file cvd_modeling.csv contains the dataset used to train the machine learning models.
To run the Logistic Regression (with gradient descent) and Linear Perceptron models, open and execute the notebook ML models.ipynb. This notebook loads cvd_modeling.csv, preprocesses the data, and implements both models.
To run the Random Forest model, open and execute the notebook DS4400_Project_Random_Forest.ipynb. To run the Support Vector Machine (SVM) model, open and execute DS4400_Project_SVM.ipynb. Both of these notebooks also use the cvd_modeling.csv dataset, provided as a spreadsheet, which can be accessed here: https://docs.google.com/spreadsheets/d/1K9R2xpxjPZYypVshY3fKUC5-VHWPgP0KxQivMES2zsQ/edit?usp=sharing