R Package with Functions, Workflows and Tutorials for Machine Learning at KWB • kwb.ml

R Package with Functions, Workflows and Tutorials for Machine Learning at KWB.

Installation

For installing the latest release of this R package run the following code below:

# Enable repository from kwb-r
options(repos = c(
  kwbr = 'https://kwb-r.r-universe.dev',
  CRAN = 'https://cloud.r-project.org'))
  
# Download and install kwb.ml in R
install.packages('kwb.ml')

# Browse the kwb.ml manual pages
help(package = 'kwb.ml')

Usage

The purpose of the R package kwb.ml is on the one hand to give a general overview on how to perform machine learning in R and on the other hand to show practical machine-learning case-studies performed in publically funded research projects in form of reproducible workflows.

Currently the following articles are available:

Getting Started with machine learning in R (recommendation of R packages, literature and e-learning tools)
Case Study: Satellite Image Classification as reproducible R workflow developed in project KEYS for urban surface classification (e.g. roofs, streets, water) based on a satellite image.