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1. leschultz/materials_application_domain_machine_learning leschultz/materials_application_domain_machine_learning Public

   A package for definining the domain of a machine learning model via a feature dissimilarity metric.

   Python 5 2

2. Skunkworks-Uncertainty-Quantification Skunkworks-Uncertainty-Quantification Public

   Pre-clustering superconductors dataset with HDBSCAN, sampling with randomized presorted clusters, then using Mahalanobis distance as an uncertainty quantification metric with R^2.

   Jupyter Notebook

3. MacroDAG MacroDAG Public

   A Dockerized Airflow ETL pipeline that processes macroeconomic indicators from the Federal Reserve.

   Python 2

4. LightGBM-binary-classification-example LightGBM-binary-classification-example Public

   A model that predicts the default rate of credit card holders using the LightGBM classifier. Trained the LightGBM classifier with Scikit-learn's GridSearchCV.

   Jupyter Notebook 31 19

5. Ford-Fulkerson-Implementation Ford-Fulkerson-Implementation Public

   Ford-Fulkerson using Python 3.

   Python 1