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Machine Learning with Python: k-Means Clustering

via LinkedIn Learning

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Details

Provider

LinkedIn Learning
Pricing

Free Trial Available
Languages

English
Certificate

Certificate Available
Effort

51 minutes
Sessions

Self-Paced
Level

Intermediate

Found in

Part of

Develop with Python for AI and Machine Learning

Corporate Finance Institute

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

Syllabus

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

Taught by

Frederick Nwanganga

Reviews

4.8 rating at LinkedIn Learning based on 254 ratings

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