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1. analyzing-racial-disparities analyzing-racial-disparities Public

   Studying the complexity of the learned model (a summary of the real dataset) and the accuracy of results of statistical queries on the derived synthetic dataset, under differential privacy

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2. algorithmic-fairness algorithmic-fairness Public

   Incorporating fairness-enhancing interventions into machine learning pipelines, observing the effect of hyperparameter tuning on performance, in terms of both accuracy and fairness

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3. transparency-and-interpretability transparency-and-interpretability Public

   Using SHAP to generate locally interpretable explanations of classification decisions on a text corpus, using local explanations for feature selection, ultimately improving classification accuracy …

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4. importing-data-sql importing-data-sql Public

   running SQL queries on imported data

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