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 Classification Methods with Machine Learning

Classification Methods with Machine Learning

Learn and apply different machine learning methods for classification.  Explore how different techniques and hyperparameters affect your model performance.

Course modules

Introduction

Get an overview of the course.

Lessons:
  • Course Overview
  • Course Example

k-Nearest Neighbor Classification

Train k-nearest neighbor models and change hyperparameters like the number of neighbors and the distance metric.

Lessons:
  • Overview of k-Nearest Neighbor Classification
  • Use k-Nearest Neighbor Classification
  • Quick Reference

Classification Trees

Train decision tree models for classification and modify the tree branching specifications.

Lessons:
  • Overview of Classification Trees
  • Use Classification Trees
  • Quick Reference

Naive Bayes Classification

Train naive Bayes classification models with and without kernels.

Lessons:
  • Overview of Naive Bayes Classification
  • Use Naive Bayes Classification
  • Quick Reference

Discriminant Analysis

Train linear and quadratic discriminant analysis classification models.

Lessons:
  • Overview of Discriminant Analysis
  • Use Discriminant Analysis
  • Quick Reference

Support Vector Machine Models

Train binary and multiclass SVM classification models and change the kernel hyperparameter.

Lessons:
  • Overview of Support Vector Machines
  • Use Support Vector Machine Classification
  • Quick Reference

Ensemble Learning

Combine multiple models into an ensemble by using techniques like bagging, boosting, and subspace methods.

Lessons:
  • Overview of Ensemble Learning
  • Use Ensemble Models
  • Quick Reference

Classification with Neural Networks

Train neural networks for classification and change hyperparameters such as the number fully connected layers and the layer size.

Lessons:
  • Overview of Neural Networks
  • Use Neural Networks for Classification
  • Quick Reference

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.