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Learner Reviews & Feedback for Explaining Tree Based Models Using SHAP by Coursera Project Network

10 ratings
3 reviews

About the Course

In this 2-hour long project-based course, you will learn how to interpret or explain the output of tree based ensemble machine learning models. You will generate shapely values for all the features for each observations in the dataset. You will then learn to generate global and local explainability plots and then interpret it. You will learn how to create different shap plots for interpretability like - waterfall plot, force plot, decision plot etc. and also understand the use cases for each of these plots. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....
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1 - 3 of 3 Reviews for Explaining Tree Based Models Using SHAP

By Rense L

May 1, 2021

This was useful. But, it is largely copied from other online material. I'd like to see more detail and explanation

By Omkar K

Jan 28, 2021

This course should go more in depth. Before introducing SHAP plots, it is necessary how explain how it is calculated and that is lacking in the course.

Additionally, it is important author touches upon LIME also.

Over all the pace is good and it is better author updates the course. And refers the papers to read.

By Sylvia N

May 10, 2021

Technical issues make this project undoable