Machine learning and statistics with python

Introduction to linear regression: Linear regression is the first prediction algorithm taught in statistics to the students who begin their journey in the line of prediction and prescribing and doing all sorts of statistics wizardry. Being a statistics student, in this post, I will provide a introduction to linear regression for people not so into maths and go into bit by bit into the details, use of linear regression in different statistical packages and therefore try to balance it out for people looking at linear regression from statistics point of view by helping them into getting the application side. In this post, we will discuss about the following topics: what is linear regression different types of linear regression What are the applications of  linear regressions? How to interpret results of linear regressions? adjusted R-square and mean-squared-error coefficients and their significance Assumptions of linear regression assumption of multivariate-normality