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jphall663 authored May 25, 2020
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Expand Up @@ -13,6 +13,9 @@ Materials for a technical, nuts-and-bolts course about increasing transparency,
* Lecture 5: Machine Learning Model Debugging
* Lecture 6: Responsible Machine Learning Best Practices


Corrections or suggestions? Please file a [GitHub issue](https://github.com/jphall663/GWU_rml/issues/new).

## Lecture 1: Interpretable Machine Learning Models

![Histogram, partial dependence, and ICE for a monotonic GBM and a credit card customer's most recent repayment status](/img/lecture_1.png)
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