Explore projects

https://swc-bb.gitext-pages.gfz-potsdam.de/swc-pages/2020-04-20-Potsdam-Berlin/

https://swc-bb.gitext-pages.gfz-potsdam.de/swc-pages/2019-11-26-Potsdam-Berlin/

https://swc-bb.gitext-pages.gfz-potsdam.de/swc-pages/2020-03-24-Potsdam-Berlin/

http://swc-bb.gitext.gfz-potsdam.de/swc-lessons/2019-11-26-potsdam-berlin/R

https://swc-bb.git-pages.gfz-potsdam.de/swc-pages/2021-05-26-GFZ-virtual/

http://swc-bb.gitext.gfz-potsdam.de/swc-lessons/2020-06-22-potsdam-berlin/python/

R + fortran code to generate geostatistical spectral simulations of spherical covariance

This is the core of the auto ML approach that does model fitting, validation, and selection mostly using caret interfaces. It was written for automatically finding suitable machine learning models for table regression tasks.

http://swc-bb.gitext.gfz-potsdam.de/swc-lessons/2020-04-20-potsdam-berlin/Python/