Machine Learning in Python
Advanced Clustering
Clustering is a simple but effective tool when making sense of a dataset. In this course, you can delve into Python’s advanced clustering techniques, like single linkage clustering and soft clustering, which enables you to identify fraudulent activity, segment customers and much more.
Intermediate    7 Lessons    120 Minutes    CPD Credits
About This Course
Building on the data clustering techniques learned in earlier lessons, this course lets you explore some of Python’s more advanced clustering techniques.
You will be introduced to the concepts of single linkage and soft clustering. You will explore the different use cases for each. Finally, you will experiment with each type of clustering.
By the end of this course, you will have a significantly enhanced set of tools for grouping sections of your dataset together and will be ready to apply these to real world business problems.
Learning Outcomes
-
Understand the applications of single linkage clustering
-
Cluster data with single linkage clustering
-
Understand the applications of soft clustering
-
Cluster data with soft clustering
Lessons
1. Course Introduction
2. Preparing Data for Clustering
4. Performing Single Linkage Clustering
5. Understanding Soft Clustering
6. Performing Soft Clustering
Read More
7. Evaluating a Soft Clustering Model
Learning Certificates
Showcase Your Skills
Each time you complete a course exam, you earn a certificate that demonstrates your proficiency in that subject matter. We are proud to be able to say that Kubicle certificates are recognized by the most respected employers from around the world.
When you earn internationally-recognized certificates, you increase confidence. And when you enhance your ability, speed and accuracy, you increase your employability.