In this course students will learn the basic ideas relationship among the multivariate data and how the concepts of probability and statistics extend to supervised statistical models. Students learn some of the most widely used statistical techniques such as Linear Regression, Naïve Bayes classifier and Logistic Regression that are used to solve problems in Prediction and Classification.