Introduction to Clustering in Python

Unlabeled customer data can hide useful differences in behavior. In this course, Introduction to Clustering in Python, you'll gain the ability to find and explain groups with a repeatable clustering workflow. First, you'll explore how similarity, features, and unsupervised learning shape a grouping problem. Next, you'll discover how to select and scale features and build k-means models. Finally, you'll learn how to compare cluster counts and interpret segment profiles. When you're finished with this course, you'll have the skills and knowledge of clustering in Python needed to turn unlabeled observations into carefully qualified analytical findings.

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https://app.pluralsight.com/ilx/video-courses/python-introduction-clustering/course-overview

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