imagej / imagej/tutorials

Link to more awesome data science tutorials

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Dominant language
Jupyter Notebook
Stars
200
Forks
117
PR merge metrics
No merged PRs in 30d

Description

Here are a couple:

* https://www.kaggle.com/gzuidhof/full-preprocessing-tutorial
* https://www.kaggle.com/ankasor/improved-lung-segmentation-using-watershed

We need a place where these can be succinctly linked/recommended/curated.

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No file, test, or entry point is named. Review how this repository currently organizes tutorials and identify a concise place for curated recommendations; done means both linked Kaggle tutorials are included in that location with clear, succinct descriptions.

Written by the indexing model from the issue text.

Assessment

Tech stack
jupyter-notebook
Domain
documentation
Issue type
Documentation
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
38/100

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