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Codecademy

Machine Learning: Clustering with K-Means

via Codecademy

Overview

Use unsupervised learning to find patterns hidden in data.
Continue your Machine Learning journey with Machine Learning: Clustering with K-means. Spot patterns and identify classes with K-means clustering, and unsupervised machine learning technique.


* Spot groups in unlabeled data

* Build and assess K-means clustering algorithms

* Improve your model with K-means++


Syllabus

  • Clustering: K-Means: Clustering is the most well-known unsupervised learning technique. It finds structure in unlabeled data by identifying similar groups.
    • Lesson: K-Means Clustering
    • Quiz: K-Means Clustering
    • Lesson: K-Means++ Clustering
    • Project: Handwriting Recognition using K-Means
    • Informational: Next Steps

Taught by

Nitya Mandyam

Reviews

4.4 rating at Codecademy based on 29 ratings

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