Tasks:
1) Checking all notebooks (chapter by chapter)
a) if they run without error and are correct, in particular
compare results with the results in the book
compare results between R and Python versions
for long computations in the notebooks raise note
sufficient documentation of the notebooks
b) they should all be stored at github
https://github.com/CausalAIBook/MetricsMLNotebooks
c) For b) translation of kaggle scripts (R) to Jupyter notebooks for use colab
script: https://github.com/CausalAIBook/MetricsMLNotebooks/blob/main/Rmd2ipynb
d) Updating the entries and links in the google table above; adding missing notebooks
2) If missing, translation of notebooks from R to Python or the other way around, so that R and Python scripts are available (but might differ)
3) Preparation of new notebooks (Oliver is working on DiD; RD next)
For the polishing of the notebooks, a list of the notebooks is here:
https://docs.google.com/spreadsheets/d/1RL01oaOYDZ2PM9CtjOShPM_dOrxbFbnd72dHPMOpPds/edit?usp=sharing and the notebooks sections in the book (might slightly differ).
Tasks: 1) Checking all notebooks (chapter by chapter) a) if they run without error and are correct, in particular