JuliaAI / JuliaAI/DataScienceTutorials.jl
Add this link to the tutorials
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external resource
- Dominant language
- ReScript
- Stars
- 126
- Forks
- 19
- PR merge metrics
- No merged PRs in 30d
Description
As a present, I did the following Jupyter lab showcasing MLJ: https://notes.quantecon.org/submission/5e653f616479ca001038be0f
context: https://github.com/alan-turing-institute/MLJ.jl/issues/527
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Locate the repository's tutorials index or listing and review how existing tutorial links are organized. Add the provided Jupyter lab link with appropriate context, then verify that it appears correctly alongside the other tutorials.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia, jupyter
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 48/100