This chapter focuses on applying the machine learning algorithm, and it is the core of developing the solution. There are different types of techniques that learn from the data. Depending on our target, we can use the data to identify similarities between objects or to estimate an attribute on new objects.
In order to show the machine learning techniques, we start from the flag data that we processed in the previous chapter. However, reading this chapter doesn't require you to know about the previous, although it is recommended to understand where the data came from.
In this chapter you will learn to:
Identify homogeneous groups of items
Explore and visualize the item groups
Estimate a new country language
Set the configuration of a machine learning technique