Unsupervised Learning Algorithms I

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. Unsupervised learning is one of the most exciting areas of machine learning because it allows you to take unlabeled training data and still generate insights from it! On its own, it's a powerful way to think about data independent from human input. Combined with supervised methods, it can transform how we think about and work with data.This unit introduces K-means clustering and Principle Component Analysis (PCA), two of the most popular unsupervised techniques. By the end of this unit, you will know how and when to apply each of those algorithms and how to interpret and evaluate the results.