Machine Learning with Python: k-Means Clustering

Learn the basics of k-means clustering, one of the most popular unsupervised machine learning approaches.

Introduction

• Getting started with Python and k-means clustering
• What you should know
• The tools you need
• Using the exercise files

1. Understanding K-Means Clustering

• What is clustering?
• What is k-means clustering?
• Choosing the right number of clusters
• Why and when to use k-means clustering

2. Segmenting Data with 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

Conclusion

• Next steps