Python exercise

Let's put into practice what we've learned in this chapter so far.

As for requirements, in this chapter, we'll be installing requirements for each section separately. The installation can be performed from the terminal, the notebook, or from the anaconda navigator.

In a few of the following sections, we'll demonstrate classification in a forecast, so some of these approaches will not be comparable. The reader is invited to do forecasts and classification using each approach and then compare results.

As a note of caution, both Kats and Greykite (at the time of writing) are very new libraries, so there might still be frequent changes to dependencies. They might pin your NumPy version or other commonly used libraries. Therefore, I'd recommend you install them in virtual environments separately for each section.

We'll go through this setup in the next section.

Virtual environments

In a Python virtual environment...