Machine Learning: Linear Regression | Fundamentals, Notation, Equations, Error, Types

This is the second video of the "linear regression" video series. I explained the fundamentals of linear regression such as data types, mechanism of the linear regression, notation, equations, basic terms, error and linear regression types. In order to keep the video as short, I divided the fundamentals into two parts. Next video will be about the remained ones such as "finding the fittest model", ML flow, gradient descent, loss functions etc.

#machinelearning #linearregression

Timecode:
0:00 Dependent variable's data type: continuous data
2:23 General mechanism: historical to future
3:17 Linear equation and notation
4:03 Linear regression model equation and notation
5:09 Error in linear regression
6:26 Linear regression types