Coursera Project Network
Interpretable Machine Learning Applications: Part 2
Coursera Project Network

Interpretable Machine Learning Applications: Part 2

Taught in English

Included with Coursera Plus

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Beginner level

Recommended experience

90-120 minutes
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.1

(17 reviews)

What you'll learn

  • Apply Local Interpretable Model-agnostic Explanations (LIME) as a machine learning interpretation

  • Explain individual predictions being made by a trained machine learning model.

  • Add aspects for individual predictions in your Machine Learning applications.

Details to know

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Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Beginner level

Recommended experience

90-120 minutes
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.1

(17 reviews)

See how employees at top companies are mastering in-demand skills

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Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
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About this Guided Project

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. Explore and understand the features and values from the available data about red wine quality

  2. Transform the available data into a classification dataset and problem

  3. Prepare the data for training and validation purposes

  4. Train, validate, estimate, and contrast the performance of three regression classifiers: Decision Tree, Random Forest, AdaBoost

  5. Prepare and train the “explainer” in terms of the LIME library

  6. Display and interpret explanations of individual predictions made by the three classifiers

Recommended experience

Some prior knowledge of machine learning basics and programming in Python

5 project images

Instructor

Epaminondas Kapetanios
Coursera Project Network
5 Courses3,089 learners

Offered by

How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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