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Now, we are going to start with linear regression.

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It is a very simple approach for supervised learning, linear regression has been around for a long

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been and still are useful and a widely used statistical tool.

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Also, it is a very good starting point for machine learning.

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As many of the newer and fancier approaches of machine learning can be seen as a extensional Delina

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revision maternally.

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Therefore, it is really important to have a solid understanding of linear regression before you move

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on to complex learning methods.

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In the coming videos, we will learn the key concepts behind linear regression model and then Lundie

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Lee squared approach, which is the most commonly used approach to predict linear model.

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Let us go back to the host blazing data.

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The prediction question asked was, how accurately can I predict the price of a house, given the values

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of all these variables?

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The inferential question that we were asking is how accurately can we estimate the effect of each of

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these variables on the host place?

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So we are going to find the answers to these two questions using linear regression.