Linear Regression From Scratch - Part 1

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In this video, we will start looking into one of the most common technique used to solve regression problems in Machine Learning - Linear Regression. We will start off with the most important formulae and then start deriving the equations that form the building blocks of fitting the Linear Equation line. This video will serve as an easy reference and an introduction to understanding the mathematical background for the Linear Regression technique. Please do give it a thumbs up if you found the video useful and stay tuned for the next part!

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Hey folks, a small correction. I've mistakenly swapped the words dependent and independent at around the 2 minute mark. Y is the dependent variable and X is independent. Apologies for the miscommunication.

imaadmohamedkhan
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Hi,
I suppose y is the dependent variable and X is the independent variable. Please correct me if I am wrong.

venkateshsadagopan