Python: Real World Machine Learning

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 ...