Master Cluster Analysis in Data Mining - Complete Course

[mitsumi]

Master Cluster Analysis in Data Mining - Complete Course
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 48000 Hz, 2ch | 362 MB
Duration: 1.5 hours | Genre: eLearning | Language: English
Learn different Clustering Analysis algorithms from scratch with theory, examples and Python code

What you'll learn

    Cluster Analysis algorithms for Data mining.

Requirements

    Basic Python Programming

Description

    Welcome to Cluster Analysis in Data Mining! The problem of clustering is to take a collection of points and group them into "clusters," such that members of the same cluster are close, while members of different clusters are far.

    Clustering is an Unsupervised Learning subject and is very crucial for various applications like Categorization, Data preprocessing, Data Visualization, Outlier mining and many more. In this course we explore the different techniques used for clustering data.

Good luck as you get started, and I hope you enjoy the course!

Who this course is for:

    Data scientists, developers, machine learning engineers, software engineers
     

               
 

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