Linear Regression in Machine Learning | Linear Regression Algorithm | Great Learning

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Watch this tutorial on Linear Regression in Machine Learning! Linear Regression is a predictive model which is used for finding the linear relationship between a dependent variable and one or more independent variables. It is one of the most important predictive analysis algorithms. Whenever one wants to forecast or predict something, linear regression algorithms are used for that purpose.

Great Learning brings you this tutorial on Linear Regression in Machine Learning to help you understand everything you need to know about this topic and getting started on the journey to learn about it well. This video starts off with a case study, followed by understanding the need for linear regression. Then we look at the concepts of linear regression, following which, we look at how to use linear regression in R and Python! This video teaches Linear Regression and its key functions and concepts with a variety of demonstrations & examples to help you get started on the right foot.

0:00:00 Introduction
0:02:04 Agenda
0:02:26 Case Study
0:04:20 The Need for Regression Analysis
0:06:18 Linear Regression
0:07:32 Best Fit Line
0:09:01 Measure of Good Fit
0:13:24 Multiple Linear Regression
0:14:47 Linear Regression in R
1:12:58 Linear Regression in Python

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