Machine-Learning-in-R

Machine-Learning-in-R

dlab-berkeley

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

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196 Stars
70 Forks
0 Watchers
CSS Language
other License
100 SrcLog Score
Cost to Build
$1.07M
Market Value
$1.93M
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13 data points  ·  2021-07-01 → 2026-10-01
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What is the dlab-berkeley/Machine-Learning-in-R GitHub project? Description: "Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles". Written in CSS. Explain what it does, its main use cases, key features, and who would benefit from using it.

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