API
- cluster
  - KMeans
- datasets
- decomposition
  - PCA
- ensemble
  - BaggingClassifier
  - RandomForestClassifier
- feature_extraction
  - CountVectorizer
- linear_model
- metrics
- model_selection
  - KFold
  - train_test_split
- naive_bayes
  - GaussianNB
  - MultinomialNB
- neighbors
  - KNeighborsClassifier
- preprocessing
- svm
- tree
  - DecisionTreeClassifier

Examples

General examples

General-purpose and introductory examples for machinelearn.js

Random Forest with Titanic Datasets
KMeans clustering demo