I need support with this Python question so I can learn better.
Based on the Python regression example code I explained in the video, apply the polynomial feature and fit the diabetes data set. Plot your new model and compare it with the linear model that I explained by finding the mean squared errors.
One of the data sets that can be found in SKlearn in python is boston. You can load it using load_boston. Follow the steps we followed for the diabetes data set to fit this dataset using linear regression.
Submission: Upload the Python source code