Getting to know Python's libraries

In the following sections, we will explore the concepts presented so far, presenting some sample code that make use of a series of Python libraries that are among the most well known and widespread in the field of ML:

• NumPy (version 1.13.3)
• pandas (version 0.20.3)
• Matplotlib (version 2.0.2)
• scikit-learn (version 0.20.0)
• Seaborn (version 0.8.0)

The sample code will be shown here in the form of snippets, along with screenshots representing their output. Do not worry if not all of the implementation details are clear to you at first glance; we will have the opportunity to understand the implementation aspects of every single algorithm throughout the book.

Supervised learning example – linear regression

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