Introduction to ML: evaluating the composition of wine

Photo by Terry Vlisidis on Unsplash

We will walk through an example that involves training a model to tell what kind of wine will be “good” or “bad” based on a training set of wine chemical characteristics.

First, we’re going to import the packages that we’ll be using throughout this notebook. Then we’ll bring in the CSV from my desktop. You can get the raw data from UCI’s ML Database.