JuliaAI / JuliaAI/DataScienceTutorials.jl
Add boostrapping to ISL
Open
Nobody has claimed this yet.
ISL
new tutorial suggestion
- Dominant language
- ReScript
- Stars
- 126
- Forks
- 19
- PR merge metrics
- No merged PRs in 30d
Description
Could add to lab 5 following the nice input https://github.com/alan-turing-institute/MLJTutorials/issues/17#issuecomment-558881698
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
Start by reading the referenced MLJTutorials issue comment, then inspect the repository's lab 5 tutorial. Clarify which bootstrapping material is requested and where it belongs; done means lab 5 includes the agreed content.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100