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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
Activity overview

Contribution activity

April 2019

66 contributions in private repositories Apr 1 – Apr 15

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