sangnguyens / checklists-for-datascientist

Checklists for scientists and engineers

☑️ checklists

A collection of checklists and decision trees for scientists and engineers.

The checklists are maintained as Markdown files for convenience, but can be rendered in other formats using conversion tools like pandoc. For example, to render the machine-learning-review checklist as a PDF, you can do this:

pandoc -t html --css style.css \
       -V margin-top=7 -V margin-right=10 \
       -V margin-bottom=7 -V margin-left=10 \
       machine-learning-review.md -o out.pdf

You can install pandoc on Ubuntu with sudo apt install pandoc; builds exist for most distros. To use the command above, you may also need to install the wkhtmltopdf tool as well.

In the near future, we will provide PDFs via links from this repository.

Contents

• machine-learning-review — Annotated checklist for people running or reviewing machine learning projects. Originally published in this blog post.
• machine-learning-planning — Annotated checklist specifically for earth scientists planning machine learning projects.
• reproducible-science-projects — An aspirational wishlist for open source and reproducible scientific repos.

Coming soon

• Open data checklist
• Benchmark dataset checklist
• Scientific presentation checklist
• Computing course checklist
• Hackathon planning checklist
• Which programming language should I learn first?
• So you want to build a Python app