It would be good to include caret for R, since it is essentially the scikit-learn equivalent and will be helpful for machine learning tasks. I also added class (knn), earth (MARS), gbm, glmnet (Elastic Net), kernlab (SVM), mda (MARS), mgcv (GAMs), randomForest, and rpart (CART) as common ML libraries. This should get BCE into pretty good shape for future trainings/classes in ML with R. Ideally it would cover most of Stat 154 and CS 189; I included the Stat 154's book package as well (ISLR). I did not include bartMachine due to the java dependency. In the future a neural net library or two could also be added.
ck37
commented
9 years ago
It would be good to include caret for R, since it is essentially the scikit-learn equivalent and will be helpful for machine learning tasks. I also added class (knn), earth (MARS), gbm, glmnet (Elastic Net), kernlab (SVM), mda (MARS), mgcv (GAMs), randomForest, and rpart (CART) as common ML libraries. This should get BCE into pretty good shape for future trainings/classes in ML with R. Ideally it would cover most of Stat 154 and CS 189; I included the Stat 154's book package as well (ISLR). I did not include bartMachine due to the java dependency. In the future a neural net library or two could also be added.