Introduction to Statistical and Machine Learning Methods for Data Science

Chapter 7: Unsupervised Models—Semi Structured Data

Chapter Overview

In this chapter, we continue to learn about unsupervised models, which are models without a target. This type of model aims to better understand patterns in data and to raise insights about it. It is used to highlight customer behavior, patterns in transactions or relationships, and associations between items. It is quite often applied to structured data, like transactions, and unstructured data, like text data.

In this chapter, we will learn specifically about association rules analysis, a method assigned to market basket analysis applications. We will also learn about path analysis, a method to understand events that take place along steps or sequence of steps in a timeline, ...