Now, we are going to start with linear regression.
It is a very simple approach for supervised learning, linear regression has been around for a long
time and is still useful and a widely used statistical tool also, it is a very good starting point
for machine learning, as many of the newer and fancier approaches of machine learning can be seen as
an extension of the interrogation method only.
Therefore, it is really important to have a solid understanding of linear regression before you move
on to complex learning methods.
In the coming videos, we will learn the key concepts behind linear regression model and then learn
the least square approach, which is the most commonly used approach to fit a linear model.
Let us go back to the house, the.
The prediction question asked was, how accurately can I predict the price of a house, given the values
of all these variables?
The inferential question that we were asking is how accurately can we estimate the effect of each of
these variables on the house price?
So we are going to find the answers to these two questions using linear regression.