Heart Disease Prediction Using Machine Learning

Heart is a vital organ in human body that circulates blood throughout the body. It plays an important role in supplying oxygen and nutrients to the tissues and organs while removing waste products. Cardiovascular diseases, encompass a range of conditions that affect the heart and blood vessels. These diseases can disrupt with the heart's ability to function properly and may lead to serious health complications. In this study, for the purpose of predicting heart disease, we apply various kinds of machine learning algorithms. After completion of the pre-processing, several classification models were applied to the dataset. Based on Accuracy and other evaluation criteria, we can identify the most effective classifier. We found that Random Forest give the highest accuracy score.