Skip to content
MathWorks

Self-Paced Online Courses

  • Self-Paced Content
  • MathWorks
  • MATLAB Help Center
  • Community
  • Learning
  • Get MATLAB MATLAB
  • Sign In
    • My Account
    • My Community Profile
    • Link License

    • Sign Out
  • Contact MathWorks Support
  • Visit mathworks.com
  • Online Courses
MathWorks MathWorks

Select a Web Site

Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .

  • (English)
  • (Deutsch)
  • (Français)
  • (简体中文)
  • (English)

You can also select a web site from the following list

How to Get Best Site Performance

Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.

Americas

  • América Latina (Español)
  • Canada (English)
  • United States (English)

Europe

  • Belgium (English)
  • Denmark (English)
  • Deutschland (Deutsch)
  • España (Español)
  • Finland (English)
  • France (Français)
  • Ireland (English)
  • Italia (Italiano)
  • Luxembourg (English)
  • Netherlands (English)
  • Norway (English)
  • Österreich (Deutsch)
  • Portugal (English)
  • Sweden (English)
  • Switzerland
    • Deutsch
    • English
    • Français
  • United Kingdom (English)

Asia Pacific

  • Australia (English)
  • India (English)
  • New Zealand (English)
  • 中国
    • 简体中文
    • English
  • 日本 (日本語)
  • 한국 (한국어)

Contact your local office

image for course Dimensionality Reduction Techniques

Dimensionality Reduction Techniques

Reduce the dimensionality of your dataset by applying feature transformation and feature selection techniques while keeping as much relevant information of the original data as possible.

Course modules

Course Overview

Get an overview of the course.

Lessons:
  • Course Overview
  • Course Example

Feature Transformation Techniques

Transform the variables of a data set to reduce data dimensionality.

Lessons:
  • Feature Transformation
  • Principal Component Analysis (PCA)
  • Factor Analysis

Feature Selection Techniques

Select a subset of variables to reduce the dimensionality of your data set.

Lessons:
  • Feature Selection
  • Feature Ranking Algorithms
  • Built-in Feature Selection
  • Sequential Feature Selection

Conclusion

Learn next steps and give feedback on the course.

Lessons:
  • Additional Resources
  • Survey

Format:Self-paced

Language:English

Language

  • Hands-on exercises with automated feedback
  • Access to MATLAB through your web browser
  • Shareable progress report and course certificate

Machine Learning Onramp

Learn the basics of practical machine learning methods for classification problems.

  • Trust Center
  • Trademarks
  • Privacy Policy
  • Preventing Piracy
  • Application Status
  • Contact Us

© 1994-2025 The MathWorks, Inc.