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Introduction to Machine Learning with Python for Mineral Exploration

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All of the jupyter notebooks are in the _ipynb notebook.

Python for geosciences SIH materials

Rendered at: https://sydney-informatics-hub.github.io/geopython-pawsey

  • All notebooks go into _ipynb folder
  • Run the below command to render them into markdown files in the right place
bash _generate_site_from_ipynb.sh
#Generally add whatever files you have created
git add docs/*_files/*
git add *_files/*
git commit -am "your comments"
git push

You can browse the result locally by exploring the html files created (note: sometimes figures display locally but not on web and the other way around too.)


When you want to convert the notebooks to pdf for the students, use the following command:

jupyter nbconvert --execute --to pdf notebook.ipynb

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Introduction to Machine Learning with Python for Mineral Exploration. Rendered at https://sydney-informatics-hub.github.io/geopython-pawsey

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