GitHub - sreeku44/HeartDisease_Prediction_ML: Analyzed the data and using the classifier models KNN, decision tree, random forest, naive bayes, AdaBoost, SVM, and logistic regression to make predictions with high accuracy on chances of being diagnosed with heart disease based on given risk factors in the dataset. Data originally from CDC and publicly available on Kaggle.com.

sreeku44 / HeartDisease_Prediction_ML Public

Analyzed the data and using the classifier models KNN, decision tree, random forest, naive bayes, AdaBoost, SVM, and logistic regression to make predictions with high accuracy on chances of being diagnosed with heart disease based on given risk factors in the dataset. Data originally from CDC and publicly available on Kaggle.com.