Linear Regression ( with examples ) | Know Your Algorithm | S01E04

Regression is among the most popular machine learning algorithms. Having its origin from statistics, it is highly interpretable and robust. Irrespective of its high dependency on assumptions, it is a very popular method of predicting and estimation of the relationship among variable. In this Video, we discuss the type of business problems that can be solved using the technique of linear regression. We also predict the price of a house based on its feature. By watching the video, you would learn. 1. Why Regression is such a popular machine learning algorithm? 2. How does Regression work? How can you interpret the results? 3. What can Linear regression be used for? I also explain the assumptions that need to be taken into account while working with linear regression. Here are some useful links : Linear Regression Repository on Github : https://github.com/devashishdhiman/Linear-Regression How to verify the Linear regression assumptions : https://www.analyticsvidhya.com/blog/2016/07/deeper-regression-analysis-assumptions-plots-solutions/ Follow me on : Instagram : devdman Twitter : Devashishdhiman LinkedIn : https://www.linkedin.com/in/devashishdhiman/