Unsupervised Machine Learning

Unlike the more familiar terrain of supervised learning (SL), where data comes neatly labeled and the learning path is predefined, unsupervised learning (UL) ventures into the territory of unlabeled data, offering an opportunity to uncover hidden patterns and insights.

This chapter delves into the field of UL, where we will learn about some practical examples of UL, the key steps involved in UL, and techniques around clustering, anomaly detection, dimensionality reduction, and association rule learning.

This chapter covers the following topics:

• Defining UL
• Steps in UL
• Clustering – unveiling hidden patterns in your data
• Association rule learning
• Applications of UL