Chapter 1: Introduction to machine learning and Python
Abstract
This chapter covers basic definitions of Artificial Intelligence, machine learning, and data mining. It then provides step-by-step instructions on how to set up Python Anaconda and Jupyter Notebook and all useful shortcuts. Afterward, an introduction to the following Python concepts is given; including data structures, e.g., lists, dictionary, tuples, sets, and control flows, e.g., if statements, for loops, nested loops, while loops, list comprehension, and functions. These concepts are explained using step-by-step examples. Next, pandas and numpy libraries are discussed in depth with multiple oil and gas examples. Various pandas' functions and concepts such as column selection, basic ...
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