Learn the basics of k-means clustering, one of the most popular unsupervised machine learning approaches.
Overview
Syllabus
Introduction
- Getting started with Python and k-means clustering
- What you should know
- The tools you need
- Using the exercise files
- What is clustering?
- What is k-means clustering?
- Choosing the right number of clusters
- Why and when to use k-means clustering
- How to segment data with k-means clustering in Python
- How to evaluate and visualize clusters in Python
- How to find the right number of clusters in Python
- How to interpret the results of k-means clustering in Python
- Next steps
Taught by
Frederick Nwanganga
