Ensemble Methods in Machine Learning

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In this Guided Project, you will:
2 Hours
Intermediate
No download needed
Split-screen video
English
Desktop 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 Learning

  • Boosting

  • Bagging

  • Stacking

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:

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

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