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Explainable AI in Python

Fouad Trad

Machine Learning Engineer

Chapter 1

Basics of explainable AI:

  • Key principles and terminologies
  • Model-specific explainability of linear and tree-based models
Explainable AI in Python

Chapter 1

Basics of explainable AI:

  • Key principles and terminologies
  • Model-specific explainability of linear and tree-based models

Chapter 2

Model-agnostic techniques:

  • Permutation importance
  • SHAP
Explainable AI in Python

Chapter 1

Basics of explainable AI:

  • Key principles and terminologies
  • Model-specific explainability of linear and tree-based models

Chapter 2

Model-agnostic techniques:

  • Permutation importance
  • SHAP

Chapter 3

Local explainability:

  • SHAP
  • LIME
Explainable AI in Python

Chapter 1

Basics of explainable AI:

  • Key principles and terminologies
  • Model-specific explainability of linear and tree-based models

Chapter 2

Model-agnostic techniques:

  • Permutation importance
  • SHAP

Chapter 3

Local explainability:

  • SHAP
  • LIME

Chapter 4

Advanced topics:

  • Explainability metrics
  • Explaining unsupervised models
  • Explaining generative AI models
Explainable AI in Python

What's next?

Image showing an arrow to highlight next steps. First one is applying explainability to diverse AI models.

1 Images generated by DALL-E
Explainable AI in Python

What's next?

Image showing an arrow to highlight next steps. First one is applying explainability to diverse AI models. Second one is to enhance AI transparency and trust.

1 Images generated by DALL-E
Explainable AI in Python

What's next?

Image showing an arrow to highlight next steps. First one is applying explainability to diverse AI models. Second one is to enhance AI transparency and trust. Third one is the explore AI fairness and bias detection.

1 Images generated by DALL-E
Explainable AI in Python

What's next?

Image showing an arrow to highlight next steps. First one is applying explainability to diverse AI models. Second one is to enhance AI transparency and trust. Third one is the explore AI fairness and bias detection. Fourth one is to stay updated on emerging tools in explainable AI.

1 Images generated by DALL-E
Explainable AI in Python

Congratulations!

Explainable AI in Python

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