Machine learning is a rapidly growing trend in the healthcare industry. The technology is being employed on a large scale for the prediction of various diseases. With the growth of data analysis in biomedical, accurate predictive analysis of biomedical data benefits early disease detection and improved care of the patient. In this paper, we have attempted to perform predictive analysis of various diseases using Machine learning algorithms and tried to draw inferences about their efficiency in accurate predictions. We have employed models for Diabetes, Heart Disease, and Liver disease prediction, which provide considerably more accurate results of 91.37%, 82.67%, and 71.79%, respectively.