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Pinned repositories

  1. awesome-machine-learning-interpretability

    A curated list of awesome machine learning interpretability resources.

    276 59

  2. GWU_data_mining

    Materials for GWU DNSC 6279 and DNSC 6290.

    Jupyter Notebook 128 92

  3. interpretable_machine_learning_with_python

    Practical techniques for interpreting machine learning models.

    Jupyter Notebook 104 36

  4. diabetes_use_case

    Sample use case for Xavier AI in Healthcare conference:

    Jupyter Notebook 7 3

  5. jsm_2018_slides

    Slides for 2018 Joint Statistical Meetings:

    TeX 3

  6. jsm_2018_paper

    Paper for 2018 Joint Statistical Meetings:

    TeX 3

315 contributions in the last year

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Contribution activity

October 2018

Created an issue in navdeep-G/interpretable-ml that received 3 comments

Tentative Outline

Abstract Introduction Simulated data Global analysis Surrogate DT Decision boundary plot Comparison of global var. imp. methods Local analysis…


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