I came across this excellent article lately “Machine learning at central banks” which I decided to use as a basis for a new cheat sheet called Machine Learning Modelling in R. The cheat sheet can be downloaded from RStudio cheat sheets repository.
As the R ecosystem is now far too rich to present all available packages and functions, this cheat sheet is by no means exhaustive . It’s rather a guide to what I consider being the most useful tools available in R for modelling. It also contains a standard modelling workflow which represents my view on how to approach a generic modelling exercise. Any comments comments welcome!
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