An early prediction of cardiovascular stroke using machine learning techniques

The main concept of this project is to predict Cardiovascular stoke. Now a days heart stroke has become a major health issue in most of the families. So early detection can reduce the death rates for heart strokes. Early detection is the essential to reduce its impact. Here for early detection Machine Learning algorithms are used. This Machine Learning techniques give an effective and cost-effective solution for prediction of heart disease. To predict cardiovascular stroke models are trained using machine learning algorithms like SVM, KNN and, Random Forest. And here Django framework is used to visualize the predicted results of the models and manage the data storage.