Ensemble Methods in Machine Learning

Offered By
Coursera Project Network
In this Guided Project, you will:

Implement Bagging

Implement Boosting

Implement Stacking

Clock2 Hours
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

In this 2-hour long project-based course, you will learn how to implement various ensemble techniques and use it in machine learning. Ensemble models in machine learning combine the decisions from multiple models to improve the overall performance, The main causes of error in learning models are due to noise, bias and variance, Ensemble methods help to minimize these factors.

Skills you will develop

Machine LearningBoostingBaggingStacking

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Implement Bagging

  2. Bagging Algorithms

  3. Implement Boosting

  4. Boosting Algorithms

  5. Implement Stacking

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

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