Chapter 6: Unsupervised Machine Learning
Oftentimes, many data science tutorials that you will encounter in courses and training revolve around the field of Supervised Machine Learning (SML) in which data and its corresponding labels are used to develop predictive models to automate tasks. However, in real-world data, the availability of pre-labeled or categorized data is seldom the case, and most datasets you will encounter will be in their raw and unlabeled form. For cases such as these, or whose primary objectives are more exploratory or not necessarily of automatable fashion, the field of unsupervised ML will be of great value.
Over the course of this chapter, we will explore many methods relating to the areas of clustering and Dimensionality Reduction (DR). The main topics we will explore are listed here:
- Introduction to Unsupervised Learning (UL)
- Understanding clustering algorithms
- Tutorial – breast cancer prediction via clustering
- Understanding...
