Getting started with structured data

In Chapter 3, Defining Data Models and Chapter 4, Categorizing Data Models, we learned more about data structures, its sources, and examples. In this chapter, we are going to stick to structured data and employ modeling techniques using Python; we are going to use CSV data and create a model that can be used to predict house prices using Python.

In this mini-project, we are going to use four Python modules or libraries, which are explained in the next few sections.

NumPy

NumPy is the abbreviation for Numerical Python. Instructions for installing NumPy can be found at instructions. NumPy has built-in functions to support array objects and a collection of routines, which can be utilized...