Chapter 4
Dimension Reduction and PCA
Learning Objectives
By the end of this chapter, you will be able to:
- Apply dimension reduction techniques.
- Describe the concepts behind principal components and dimensionality reduction.
- Apply principal component analysis (PCA) when solving problems using scikit-learn.
- Compare manual PCA versus scikit-learn.
In this chapter, we will look at dimension reduction and different dimension reduction techniques.
Introduction
This chapter is the first of a series of three chapters that investigate the use of different feature sets (or spaces) in our unsupervised learning algorithms, and we will start with a discussion around dimensionality reduction, specifically, PCA. We will then extend upon our understanding ...
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