Linear Regression From Scratch - Part 1

Imaad Mohamed Khan · Beginner ·📐 ML Fundamentals ·6y ago

Key Takeaways

Linear Regression technique from scratch, covering important formulae and deriving equations for fitting a Linear Equation line

Original Description

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! Please subscribe to the channel!
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This video introduces Linear Regression, a common Machine Learning technique, and derives the equations for fitting a Linear Equation line. It serves as a reference for understanding the mathematical background of Linear Regression.

Key Takeaways
  1. Start with the basic formulae of Linear Regression
  2. Derive the equations for fitting a Linear Equation line
  3. Understand the mathematical background of Linear Regression
  4. Apply Linear Regression to solve regression problems
💡 Linear Regression is a fundamental technique in Machine Learning that can be derived from basic formulae and equations

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