I am a believer in Linear Algebra and always fascinated with its powerful application. Linear Regression is one of the first applications of Linear Algebra that I’ve learned. Simply put, Linear Regression is a process of generalizing the linear relationship between a scalar variable (dependent~y) and one or more explanatory variables (independent~x) by minimalizing the distance between the data and the regression function. a.k.a. the line of best fit in Simple Linear Regression.

The Problem

Hello internet, I am a new user 🐣! Just trying out the medium platform, let's see how it goes! And to include some tips for me for the future 👍.

A Lazy Morning — Photo by Steven Lio

Display some of my favorite Math:

Einstein’s famous Mass-energy equivalence formula 🌌:

Steven Lio

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