Building a polynomial regressor
One of the main constraints of a linear regression model is the fact that it tries to fit a linear function to the input data. The polynomial regression model overcomes this issue by allowing the function to be a polynomial, thereby increasing the accuracy of the model.
Getting ready
Let's consider the following figure:
We can see that there is a natural curve to the pattern of datapoints. This linear model is unable to capture this. Let's see what a polynomial model would look like:
The dotted line represents the linear ...
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