Chapter 5: Building an AutoML Classification Solution
After building your AutoML regression solution with Python in Chapter 4, Building an AutoML Regression Solution, you should be feeling confident in your coding abilities. In this chapter, you will build a classification solution. Unlike regression, classification is used to predict the category of the object of interest. For example, if you're trying to predict who is likely to become a homeowner in the next five years, classification is the right machine learning approach.
Binary classification is when you are trying to predict two classes, such as homeowner or not, while multiclass classification involves trying to predict three or more classes, such as homeowner, renter, or lives with family. You can utilize both of these techniques with Azure AutoML, and this chapter will teach you how to train both kinds of models using different datasets.
In this chapter, you will begin by navigating directly to the Jupyter environment...
