kwb.ml (v0.1.0): R Package with Functions, Workflows and Tutorials for Machine Learning at KWB

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:

1. Getting Started with machine learning in R
   (recommendation of R packages, literature and e-learning tools)

2. 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.