Introduction
Explore the fundamentals of unsupervised learning with a focus on clustering methods in scikit-learn. Understand how to analyze unlabeled datasets by grouping similar data points into clusters. Gain insights into real-world applications such as anomaly detection and market segmentation through hands-on examples.
We'll cover the following...
We'll cover the following...
In this chapter, continuing with scikit-learn, you will use unsupervised learning methods—methods of extracting insights from unlabeled datasets. Specifically, you'll learn about different clustering algorithms and how they are able to group together similar data observations.