Cluster Analysis : Unsupervised Machine Learning in Python

A Quick Way to Learn and Implement Clustering Algorithms for Pattern Recognition in Python. A Course for Beginners.
4.13 (8 reviews)
Udemy
platform
English
language
Data Science
category
Cluster Analysis : Unsupervised Machine Learning in Python
1,032
students
1 hour
content
Aug 2022
last update
$34.99
regular price

What you will learn

Describe the input and output of a clustering model

Prepare data with feature engineering techniques

Implement K-Means Clustering, Hierarchical Clustering, Mean Shift Clustering, DBSCAN, OPTICS and Spectral Clustering models

Determine the optimal number of clusters

Use a variety of performance metrics such as Silhouette Score, Calinski-Harabasz Index and Davies-Bouldin Index.

Screenshots

Cluster Analysis : Unsupervised Machine Learning in Python - Screenshot_01Cluster Analysis : Unsupervised Machine Learning in Python - Screenshot_02Cluster Analysis : Unsupervised Machine Learning in Python - Screenshot_03Cluster Analysis : Unsupervised Machine Learning in Python - Screenshot_04
4757894
udemy ID
6/29/2022
course created date
7/27/2022
course indexed date
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