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Organizations

@dlab-berkeley

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  1. Current version of the SuperLearner R package

    R 155 51

  2. 6-hour tutorial on machine learning in R: preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner

    R 57 13

  3. D-Lab's Machine Learning Working Group at UC Berkeley, with supervised & unsupervised learning tutorials in R and Python

    HTML 36 18

  4. Variable importance through targeted causal inference, with Alan Hubbard

    R 32 7

  5. SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.

    HTML 33 9

  6. Tutorial: Deep learning in R using Keras

    HTML 26 4

1,407 contributions in the last year

Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr Mon Wed Fri
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Contribution activity

April 2019

66 contributions in private repositories Apr 1 – Apr 15

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