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
been and still are 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 a extensional Delina
revision maternally.
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 Lundie
Lee squared approach, which is the most commonly used approach to predict linear model.
Let us go back to the host blazing data.
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 host place?
So we are going to find the answers to these two questions using linear regression.