What is Interpretable Machine Learning - ML Explainability - with Python LIME Shap Tutorial

What is Interpretable Machine Learning - ML Explainability - with Python LIME Shap Tutorial

1littlecoder via YouTube Direct link

LIME , Advantages and Disadvantages of LIME with Python Tutorial

7 of 8

7 of 8

LIME , Advantages and Disadvantages of LIME with Python Tutorial

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

What is Interpretable Machine Learning - ML Explainability - with Python LIME Shap Tutorial

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Introduction - Outline
  2. 2 Credits
  3. 3 What is Interpretable Machine Learning?
  4. 4 Why is Machine Learning Explainability Required?
  5. 5 How is IML relevant to me?
  6. 6 Types of IML
  7. 7 LIME , Advantages and Disadvantages of LIME with Python Tutorial
  8. 8 SHAP , Advantages and Disadvantages of SHAP

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.