Simple Linear Regression – Theory + Math Explained
I still remember that day when I started learning Linear Regression(LR), the very first step to learn Machine Learning. Firstly, I going to tell you What is LR and, secondly, how you can take the very first step to learn ML with LR.
What is a Linear Regression(LR)?
The Linear Regression(LR) is a statistical regression model that allows us to find a relationship between a Responsive variable( say y ) and one Explanatory variable ( say x ). On the other hand, Simple LR means it has only one class.
Because it uses only one Explanatory variable or Independent variable so it is being called SLR. If it gets more than one Explanatory variable or Independent variable, then it will be called Multiple Linear Regression.
In Machine Learning it comes under Supervised Machine Learning.
How does SLR works?
Please WATCH the below video to understand SLR in the easiest way. And Please download the PDF file to study.
Download the Below file(s) SLR-Theory-Tec4Tric to learn the Theory part & SLR-Math-Tec4Tric to learn How to solve an SLR Problem.
Read More about Machine Learning here – Machine Learning Blog
Machine Learning Tutorial by Sayan De – YouTube