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jphall663 committed May 20, 2023
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## Lecture 1: 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) (Jupyter)</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)</sup></sub>

### Lecture 1 Class Materials

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* [Primer on Technical Malpractice](https://docs.google.com/presentation/d/1cZeaoIp4cQsVY_gj2a5Pg7ygexepQZRS-ZEn6n2QqEU/edit?usp=sharing)
* [Whiteboard Notation](https://docs.google.com/presentation/d/1Axf9dizaE3XvGRelBHfsnAlMUPFuMExQ2WNVwQBKMrw/edit?usp=sharing)
* [Lecture Notes](tex/lecture_1.pdf)
* [Assignment 1](assignments/tex/assignment_1.pdf)
* [Assignment 1](assignments/tex/assignment_1.pdf):
* [Model evaluation notebook](https://nbviewer.jupyter.org/github/jphall663/GWU_rml/blob/master/assignments/eval.ipynb)
* [Full evaluations results](https://github.com/jphall663/GWU_rml/blob/master/assignments/model_eval_2022_06_13_09_47_08.csv)
* [Full evaluations results]()
* Software Examples:
* [Building from Penalized GLM to Monotonic GBM (simple)](https://nbviewer.jupyter.org/github/jphall663/GWU_rml/blob/master/lecture_1.ipynb?flush_cache=true)
* [Building from Penalized GLM to Monotonic GBM](https://nbviewer.org/github/jphall663/interpretable_machine_learning_with_python/blob/master/glm_mgbm_gbm.ipynb?flush_cache=true)
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