GitHub - Tejas-Muralidhar/ML-Project-Heart-Disease-Classifier: A Random Forest Classifier to determine if the patient is likely to have Heart Disease based on given medical condition

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A Random Forest Classifier to determine if the patient is likely to have Heart Disease based on given medical condition

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
templates		templates
README.txt		README.txt
app.py		app.py
gradient_boosting_classifier_model.pkl		gradient_boosting_classifier_model.pkl
heart.csv		heart.csv
logistic_regression_model.pkl		logistic_regression_model.pkl
model.py		model.py
random_forest_classifier_model.pkl		random_forest_classifier_model.pkl
support_vector_machine_model.pkl		support_vector_machine_model.pkl

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To run the project, open the AIML Project in the terminal of VS Code and type 'python model.py'

THat is the first part of the code that allows us to determine which of the four models work the best with our dataset.

Next, run the app.py by typing 'python app.py' The Flask app should run on a port, number bring displayed on the terminal. Go to the port specified on a browser to see the front end of the project and interact with the model to give it custom values for the test data.