Prepare

Due: November 5, 2024

prepare
Modified

November 4, 2024

Learning objectives

  • Review the importance of explainability for machine learning models
  • Identify techniques for local and global explanations of machine learning predictions
  • Implement Shapley values for local explanations
  • Estimate permutation-based feature importance measures
  • Evaluate marginal effects of features using partial dependence plots

Preparations

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