CR: Dr.Peter Fransson and Dr.Michael Opata

Installation and tutorial for R and Phython

• https://heibox.uni-heidelberg.de/d/6b334b9a783844e8acee/

Software

• R (https://www.r-project.org/)
• Python (https://www.python.org/)

Recommended Integrated Development Environments (IDEs)

• For R:
  RStudio (https://posit.co/products/open-source/rstudio/)
• For Python:
  Visual Studio Code (https://code.visualstudio.com/)
  or
  PyCharm (https://www.jetbrains.com/pycharm/)

Packages

• For Python:
  xgboost
  pandas
  numpy
  scikit-learn
  shap
  matplotlib
  Jupyter notebooks

Programming Language Tutorials

• For R:
  https://rstudio-education.github.io/hopr (Beginners level)
  https://r4ds.hadley.nz/ (Intermediate level)
• How to Install R , Rstudio and Packages on windows:
  https://www.dataquest.io/blog/tutorial-getting-started-with-r-and-rstudio/#tve-jump-173bb286b87
• For Python:
  https://www.freecodecamp.org/news/the-python-guide-for-beginners/