Cardio Vascular Disease Prediction Using Machine Learning Algorithms

Over the last decade cardiovascular disease is the main reason for deaths in the world. Even if cardiovascular diseases is found as the important source of death in world in ancient years, these have been announced as the most avoidable and manageable diseases. The main idea behind this work is to study diverse prediction models for cardiovascular disease and selecting important cardiovascular disease features using various algorithms such as Stochastic Gradient descent, Random forest , Logistic Regression, Decision Tree and Support Vector Machine.