These HTML pages were created using bookdown. You can always email me with questions,comments or suggestions. DataCamp has a beginner’s tutorial on machine learning in R using caret.At useR! 2014, I was interviewed and discussed the package and the book.There is a webinar for the package on Youtube that was organized and recorded by Ray DiGiacomo Jr for the Orange County R User Group.The example data can be obtained here(the predictors) and here (the outcomes). There is also a paper on caret in the Journal of Statistical Software.There are a lot of packages and functions for summarizing data in R and it can feel. You can do this very quickly by summarizing the attributes with data visualizations. A key part of solving data problems in understanding the data that you have available. It is on sale at Amazon or the the publisher’s website. The caret package in R is designed to streamline the process of applied machine learning. The book Applied Predictive Modeling features caret and over 40 other R packages. ![]() The current release version can be found on CRAN and the project is hosted on github. The package started off as a way to provide a uniform interface the functions themselves, as well as a way to standardize common tasks (such parameter tuning and variable importance). Some have different syntax for model training and/or prediction. There are many different modeling functions in R. The caret package (short for Classification And REgression Training) is a set of functions that attempt to streamline the process for creating predictive models.
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