K-Means for Cluster Analysis and Unsupervised Learning

The powerful K-Means Clustering Algorithm for Cluster Analysis and Unsupervised Machine Learning in Python
3.99 (45 reviews)
Udemy
platform
English
language
Data Science
category
Hannes Hinrichs
instructor
K-Means for Cluster Analysis and Unsupervised Learning
2 508
students
1 hour
content
May 2019
last update
$13.99
regular price

What you will learn

The basic fundamentals of Unsupervised Learning: Cluster Analysis and Pattern Recognition

How the K-Means algorithm works in general. Get an intuitive explanation with graphics that are easy to understand

How the K-Means algorithm is defined mathematically and how it is derived.

Implementing the K-Means algorithm in Python from scratch. Get a really profound understanding of the working principle

How to implement K-Means very fast with one line of code

Course Gallery

K-Means for Cluster Analysis and Unsupervised Learning – Screenshot 1
Screenshot 1 – K-Means for Cluster Analysis and Unsupervised Learning
K-Means for Cluster Analysis and Unsupervised Learning – Screenshot 2
Screenshot 2 – K-Means for Cluster Analysis and Unsupervised Learning
K-Means for Cluster Analysis and Unsupervised Learning – Screenshot 3
Screenshot 3 – K-Means for Cluster Analysis and Unsupervised Learning
K-Means for Cluster Analysis and Unsupervised Learning – Screenshot 4
Screenshot 4 – K-Means for Cluster Analysis and Unsupervised Learning

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Related Topics

2377484
udemy ID
21/05/2019
course created date
22/07/2019
course indexed date
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course submited by
K-Means for Cluster Analysis and Unsupervised Learning - | Comidoc