Introduction to Machine Learning Unit-2 Notes for the following Syllabus: Supervised Learning: Definition, Basic concepts, applications-simple linear regression, multi-variate linear regression, logistic regression, Naïve-Bayes Classifier, KNN classifier-Simple Examples.