knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
Sincerity with Aspiration, Perseverance with Integrity
The ML Compendium introduces a complete data analysis pipeline from obtaining, validating, transforming, visualizing, modeling and reporting data using modern machine learning approaches using R.
knitr::include_graphics("assets/images/project.png")
The source code of this compendium is openly available! For questions, refer to Github Discussions or send an e-mail directly to the maintainer of ML
, r paste0(gsub("[<>]", "", strsplit(maintainer("ML"), "<")[[1]] |> trimws()), collapse = " at: ")
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