Typically, we would spend much more time evaluating and verifying the performance of a selected model (and continually training it), but again, you get the general idea (there is plenty of due diligence work to do!), and our goals are more around demonstrating the steps in building an end-to-end machine learning solution using IBM Watson Studio and its resources.

With that in mind, we will now use some Python code to create some visualizations of our models.