The Data Science Workshop - Second Edition

14. Dimensionality Reduction

Overview

This chapter introduces dimensionality reduction in data science. You will be using the Internet Advertisements dataset to analyze and evaluate different techniques in dimensionality reduction. By the end of this chapter, you will be able to analyze datasets with high dimensions and deal with the challenges posed by these datasets. As well as applying different dimensionality reduction techniques to large datasets, you will fit models based on those datasets and analyze their results. By the end of this chapter, you will be able to deal with huge datasets in the real world.

Introduction

In the previous chapter on balancing datasets, we dealt with the Bank Marketing dataset, which had 18 variables. ...