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Unsupervised Learning in R

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Certification

Unsupervised Learning in R

This course will teach you how to reduce the dimensionality and cluster of R from a machine learning perspective.

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Description

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Features

This course includes

Duration

4 hours
Video Content
4 hours
Level
Intermediate
Instruction Type
Self Paced
Delivery Method
Online
Available on
Mobile, Desktop, Laptop
Accessibility
Limited Access
Language
English
Subtitles
English

Skills

Machine Learning AlgorithmsUnsupervised LearningClusteringR ProgrammingK-Means

Learning Goals

You'll have applied k-means clustering to a fun "real-world" dataset!
Learn exactly what PCA does, visualize the results of PCA with biplots and scree plots, and deal with practical issues such as centering and scaling the data before performing PCA
You'll extend what you've learned by combining PCA as a preprocessing step to clustering using data that consist of measurements of cell nuclei of human breast masses

Course Content

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Prerequisites/Requirements

Introduction to R

Instructors

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Hank Roark

Senior Data Scientist, Boeing

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Course Overview

Case Studies, Hands-On Training, Instructor-Moderated Discussions

Post course interactions

Virtual labs

Case-Based Learning

International faculty

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Course Cover

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