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docs/Workshop/20230910CADSEA.pdf

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docs/Workshop/202309CreditRisk.pdf

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docs/Workshop/202309PiML-CreditRisk.ipynb

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docs/Workshop/README.md

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## Workshop Info and Materials
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<summary><h3><strong>Workshop at GFMI 2nd Edition Credit Risk Modeling, September 6-7, 2023 | Chicago</strong></h3></summary><br />
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**Speaker:** Aijun Zhang
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**Slides:** [Develop Enhanced Credit Risk Models through Interpretable Machine Learning](https://github.com/SelfExplainML/PiML-Toolbox/blob/main/docs/Workshop/202309CreditRisk.pdf)
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**Codes:** <a style="text-laign: 'center'" target="_blank" href="https://colab.research.google.com/github/SelfExplainML/PiML-Toolbox/blob/main/docs/Workshop/202309PiML-CreditRisk.ipynb">Hands-on PiML tutorials</a>
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</details>
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<summary><h3><strong>Responsible Machine Learning, July 2023 | QAP Training</strong></h3></summary><br />
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**Speaker:** Aijun Zhang
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20230713ResML_BikeSharing: <a style="text-laign: 'center'" target="_blank" href="https://colab.research.google.com/github/SelfExplainML/PiML-Toolbox/blob/main/docs/Workshop/202307-ResML/20230713ResML_BikeSharing.ipynb"><img src="https://github.com/SelfExplainML/PiML-Toolbox/blob/main/examples/results/LogoColab.png" width="20"> ipynb</a>
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20230713ResML_ReLU-DNN_CoCircles: <a style="text-laign: 'center'" target="_blank" href="https://colab.research.google.com/github/SelfExplainML/PiML-Toolbox/blob/main/docs/Workshop/202307-ResML/20230713ResML_ReLU-DNN_CoCircles.ipynb"><img src="https://github.com/SelfExplainML/PiML-Toolbox/blob/main/examples/results/LogoColab.png" width="20"> ipynb</a>
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20230713ResML_ReLU-DNN_TaiwanCredit: <a style="text-laign: 'center'" target="_blank" href="https://colab.research.google.com/github/SelfExplainML/PiML-Toolbox/blob/main/docs/Workshop/202307-ResML/20230713ResML_ReLU-DNN_TaiwanCredit.ipynb"><img src="https://github.com/SelfExplainML/PiML-Toolbox/blob/main/examples/results/LogoColab.png" width="20"> ipynb</a>
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20230713ResML_CaliforniaHousing: <a style="text-laign: 'center'" target="_blank" href="https://colab.research.google.com/github/SelfExplainML/PiML-Toolbox/blob/main/docs/Workshop/202307-ResML/20230713ResML_CaliforniaHousing.ipynb"><img src="https://github.com/SelfExplainML/PiML-Toolbox/blob/main/examples/results/LogoColab.png" width="20"> ipynb</a>
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20230713ResML_Model_Fairness: <a style="text-laign: 'center'" target="_blank" href="https://colab.research.google.com/github/SelfExplainML/PiML-Toolbox/blob/main/docs/Workshop/202307-ResML/20230713ResML_Model_Fairness.ipynb"><img src="https://github.com/SelfExplainML/PiML-Toolbox/blob/main/examples/results/LogoColab.png" width="20"> ipynb</a>
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</details>
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<summary><h3><strong>Machine Learning Model Validation Workshop, April 18, 2023 | Truist</strong></h3></summary><br />
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