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jphall663 authored May 20, 2023
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## Lecture 1: Self-explainable Machine Learning Models

![Histogram, partial dependence, and ICE for a monotonic GBM and a credit card customer's most recent repayment status](/img/ebm.png)
<sub><sup>**Source:** [Simple Explainable Boosting Machine Example](https://nbviewer.jupyter.org/github/jphall663/GWU_rml/blob/master/lecture_1_ebm_example.ipynb?flush_cache=true)</sup></sub>
<sub><sup>**Source:** [Simple Explainable Boosting Machine Example](https://nbviewer.jupyter.org/github/jphall663/GWU_rml/blob/master/lecture_1_ebm_example.ipynb?flush_cache=true) (Jupyter)</sup></sub>

### Lecture 1 Class Materials

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