Abstract

The correct prediction of heart disease can prevent many life threats whereas incorrect prediction can be fatal at the same time. In my paper, I will be using different machine learning algorithms and data visualization techniques to predict heart disease using available dataset. The dataset consists of 14 main attributes used for performing analysis. I will be starting with data preprocessing step and will apply the machine learning algorithms on dataset of different sizes in order to study stability and accuracy and precision of each of them.

Key words: Machine learning