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Interpretable Machine Learning Use-Cases - Kaggle 30 Days of ML Day 15

Interpretable Machine Learning Use-Cases - Kaggle 30 Days of ML Day 15

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Feature Engineering

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Feature Engineering

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Classroom Contents

Interpretable Machine Learning Use-Cases - Kaggle 30 Days of ML Day 15

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  1. 1 Introduction
  2. 2 Blackbox Models
  3. 3 Feature Importance
  4. 4 Why ML Interpretability
  5. 5 Debugging
  6. 6 Feature Engineering
  7. 7 Mathematics
  8. 8 Future Data
  9. 9 Business Case
  10. 10 Building Trust
  11. 11 Legal Risk

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