Technical requirements

In this chapter, we will apply our understanding of Python to demonstrate some of the concepts behind ML. We will take a close look at some of the main steps in the ML model development process in which we will utilize some familiar libraries, such as pandas and numpy. In addition, we will also use some ML libraries such as sklearn and tensorflow. Recall that the process of installing a new library can be done via the command line:

$ pip install library-name

Let's begin!