Machine Learning with SAS Viya

Chapter 3: Preparing Your Data: Missing and Unstructured Data

Introduction

Dealing with Missing Data

Managing Missing Values

Model Studio: Handling Missing Values

Demo 3.1: Modifying and Correcting Source Data

Demo 3.2: Alternate Method for Modifying and Correcting Source Data Using the Manage Variables Node

Add Unstructured Data

Single Value Decomposition (SVD)

Using SVD for Dimensionality Reduction

Understanding SVD Pictorially

Demo 3.3: Adding Text Mining Features

Quiz

Introduction

In this chapter, we look at dealing with missing data and then focus and how to handle unstructured data such as textual data. By unstructured, we mean data that is not provided in a traditional row-column database. It is the opposite of structured data—the data ...