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RAPIDS Notebooks and Utilities

  • cuml: contains several example notebooks showing the usage of different machine learning algorithms included in cuML: knn, dbscan, pca, tsvd, linear_regression, ridge_regression, sgd, and umap. It also includes a small subset of the Mortgage Dataset used in the notebooks.

  • mortgage: contains the notebook which runs ETL + ML on the Mortgage Dataset derived from Fannie Mae’s Single-Family Loan Performance Data ... download the mortgage dataset for use with the notebook here

  • utils: contains a set of useful scripts for interacting with RAPIDS

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RAPIDS Sample Notebooks

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  • Jupyter Notebook 87.4%
  • Shell 10.4%
  • Python 2.2%