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# Model Diagnostics Trilogy
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# Model Diagnostics Lecture Materials
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By Aijun Zhang, for Model Validation Class, UNCC Master of Data Science, Fall 2023
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## Part 2: Prediction Uncertainty
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- CaliforniaHousing Case (Regression) <a style="text-laign: 'center'" target="_blank" href="https://colab.research.google.com/github/SelfExplainML/PiML-Toolbox/blob/main/docs/Workshop/202310-UNCC/ModelDiagPart2_PredictionUncertainty_CaliforniaHousing.ipynb"><img src="https://github.com/SelfExplainML/PiML-Toolbox/blob/main/examples/results/LogoColab.png" width="20"> ipynb</a>
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- SimuCredit Case (Binary Classification) <a style="text-laign: 'center'" target="_blank" href="https://colab.research.google.com/github/SelfExplainML/PiML-Toolbox/blob/main/docs/Workshop/202310-UNCC/ModelDiagPart2_PredictionUncertainty_SimuCredit.ipynb"><img src="https://github.com/SelfExplainML/PiML-Toolbox/blob/main/examples/results/LogoColab.png" width="20"> ipynb</a>
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## Part 3: Bias and Fairness
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