MULTI LINEAR REGRESSION
Before going into MULTI LINEAR REGRESSION first look into Linear Regression.
LINEAR REGRESSION:-It is all about getting the best line for the given data that supports linearity.
for Linear regression please check my previous post.
In Linear regression, we have only one independent variable and one dependent variable.
In Multilinear Regression, we have more than one independent variable and one dependent variable.
This is the main difference between Multilinear regression and Linear regression.
Formulae for Linear regression and Multilinear Regression is listed below:
Evaluation metrics for Multi-linear Regression problems are:
a)Mean Absolute error
b)Mean Squared error
c)Root Mean Squared Error
d).....
For Evaluation metrics I had posted another post please check it.
In the code part, I explained each and every line you will understand clearly.
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