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
$29.99
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

Screenshots

K-Means for Cluster Analysis and Unsupervised Learning - Screenshot_01K-Means for Cluster Analysis and Unsupervised Learning - Screenshot_02K-Means for Cluster Analysis and Unsupervised Learning - Screenshot_03K-Means for Cluster Analysis and Unsupervised Learning - Screenshot_04
Related Topics
2377484
udemy ID
5/21/2019
course created date
7/22/2019
course indexed date
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