Chapter 9: Building a Regression Model with scikit-learn

So far, we have covered everything from how to install packages with conda to determining which modeling approach to use. In this chapter, we are going to put all that we've learned to use by walking through a real-world situation to see how all the pieces fit together.

In this scenario, we'll pretend that we own a winery, and we want to predict how our newest wine would score in a quality test to find out whether we should adjust our growing methods in any way. This will require a few things from us.

First, we'll look at the problem space that we're working in, which in this case is making wine. Then we'll dig into the data to understand it better and to see whether there could be any issues with it, and what we can learn at a high level. After that, we'll learn how to quickly evaluate some popular regression algorithms that we saw in Chapter 7, Choosing the Best AI Algorithm, using common...