Linear and Polynomial Regression Here’s some cool initial code from page 378 (under “Derived Features” in the section on Feature Engineering) in the Python Data Science Handbook (PDSH). This code will allow me to quickly fit a linear and polynomial regression to very simple data. My comments are marked something like ### GJL:: % matplotlib inline import numpy as np import matplotlib.pyplot as plt x = np.array([1,2,3,4,5]) y = np.