Book Image

R for Data Science

By : Dan Toomey
Book Image

R for Data Science

By: Dan Toomey

Overview of this book

Table of Contents (19 chapters)


In R, there are several packages available that provide machine learning for the programmer. We will be using the following packages in the chapter:

  • ada: This is used for stochastic boosting

  • caret: This is used for classification and regression testing

  • class: This package has classification functions

  • clue: This package has the cluster ensemble methods

  • e1071: This package has miscellaneous functions for the statistics department

  • kernlab: This has kernel-based machine learning methods

  • MASS: This stands for Modern Applied Statistics with S

  • neuralnet: This has artificial neural net support

  • randomForest: This has random forests for classification

  • relaimpo: This package has functions to determine the relative importance of regressors in linear models