Heart Disease Prediction using Machine Learning | Tools Used: Jupyter Notebook, Spyder, Weka, RapidMiner | Models: Naive Bayes, Decision Tree, AdaBoost, Ensembling Method
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.gitignore
Dataset.csv
Heart Disease Prediction Presentation.pptx
KNN.csv
KNN.py
framingham_neisha.csv
kernel.pdf
naive_bayes.py
normalize.txt