Basic Linear regression algorithim in a simple way!

Introduction

So before we dive into this algorithm let's understand what is it ,what does it do the whole intuition for learning it,and we will see some live examples on this algorithm working on it from scratch.

Lets start our learning pathway by understanding the words linear and regression,so linear is nothing but  a line as some mathematical background people may be familiar about the line equation(Y=Mx+C)that  we had used in math in our school days,if not that is completely OK,  you can start your journey right form here by reading this simple written article and you will be definitely ready for boarding the plane Linear regression towards Ml ,therefore using this line equation our entire functioning of linear regression falls on the track for doing the required certain task

After reading the two paragraphs above we may be wondered what for we are learning this Algorithm ?.The interesting part comes here actually we are trying to do prediction using this algorithm  as its a certain quality of a machine.

So In this article let us understand the concept of this algorithm by taking a simple example i.e rainfall prediction data set .

Step 1: Choosing the data

One of the most important steps in machine learning and predictive modeling is gathering good data, performing the appropriate cleaning steps and realizing the limitations.

Now that we have out data, let’s go ahead and see what we have. Simply open the file in Excel.