GitHub - diwakar02/Heart-Disease-Prediction-using-Machine-Leaning: This repo contains the code for a machine learning based prediction system where the prediction of heart disease can be done using ML techniques and several classifiers have been compared.

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This repo contains the code for a machine learning based prediction system where the prediction of heart disease can be done using ML techniques and several classifiers have been compared.

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
Diwakar-CS613-Paper.pdf		Diwakar-CS613-Paper.pdf
Diwakar_CS613-Final-Paper.docx		Diwakar_CS613-Final-Paper.docx
Problem2_PCA1vsPCA2.png		Problem2_PCA1vsPCA2.png
ReadMe.txt		ReadMe.txt
Reduced PCA grpah for 2 classes .png		Reduced PCA grpah for 2 classes .png
Reduced_PCA_Graph.png		Reduced_PCA_Graph.png
cleveland_data.csv		cleveland_data.csv
problem1.py		problem1.py
problem2.py		problem2.py

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The folder "Diwakar-Malhar-CS613-Final-Project" contains code for project, one paper in NIPS format and some images for plots generated by the program.

To Run the Program:

1. Ensure that python 2.7 is installed in your machine and other dependencies namely
numpy, matplotlib and sklearn
2. unzip the Folder "Diwakar-Malhar-CS613-Final-Project"
3. run the experiments by simply typing - python problem1.py or python problem2.py
4. Change “ matplotlib.use(Agg) to matplotlib.use(TKAgg) if you want to see the plot in Mac

If working on TUX:-
Simply unzip the folder and run the scripts.

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This repo contains the code for a machine learning based prediction system where the prediction of heart disease can be done using ML techniques and several classifiers have been compared.

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