Explaining machine learning models

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

Machine Learning Explainability vis SHAP

Showcase this hands-on experience in an interview

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

In this 2-hour long project-based course, you will learn how to understand the predictions of your model, feature relations, visualize and interpret feature & model relation with statistics and much more.

Requirements

Good understanding of Python and machine learning algorithms

Skills you will develop

SHAPML explainabilityPredictive ModellingFeature Model relation

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. Interpret single predictions

  2. Interpret multiple predictions

  3. Feature summary

  4. Dependence plots

  5. Waterfall & Beeswarm

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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