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