Machine Learning Fundamentals

2

Unsupervised Learning: Real-Life Applications

Learning Objectives

By the end of this chapter, you will be able to:

• Describe how clustering works
• Import and preprocess a dataset using Pandas and Matplotlib
• Explain the difference between the three clustering algorithms
• Solve an unsupervised learning data problem using different algorithms
• Compare the results of different algorithms to select the one with the best performance

This chapter describes a practical implementation of an unsupervised algorithm to a real-world dataset

Introduction

In the previous chapter, we saw how to represent data in a tabular format, create features and target matrices, preprocess data, and choose the algorithm that best suits the problem at hand. We also ...