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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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time and is still useful and a widely used statistical tool also, it is a very good starting point

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for machine learning, as many of the newer and fancier approaches of machine learning can be seen as

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an extension of the interrogation method only.

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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 learn

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the least square approach, which is the most commonly used approach to fit a linear model.

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Let us go back to the house, the.

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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 house price?

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