Stroke is a medical disorder that harms the brain by rupturing the blood vessels there. It can also happen when the passage of blood and other nutrients to the brain is interrupted The World Health Organization (WHO) claims that stroke is the main globalcause of mortality and disability. The prediction of heart attacks has been studied, however likelihood of a brain stroke is depicted in very few works. Due to this evertheless, numerous machine learning models are created to forecast the potential for a brain stroke. This essay contains a variety of physiological variables with machine learning techniques, such as Decision Tree Classification, Random Forest, and Logistic Regression K-Nearest Neighbors, support vector machines, and classification likewiseNaive Bayes.