JuliaAI / JuliaAI/DataScienceTutorials.jl
Tutorial on predicting future stock covariances (using pipeline/tuning)
Open
Nobody has claimed this yet.
concrete tutorial proposal
- Dominant language
- ReScript
- Stars
- 126
- Forks
- 19
- PR merge metrics
- No merged PRs in 30d
Description
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
The issue names no files or tests; start by reviewing the linked stock-covs repository and the existing tutorial set. Determine the intended pipeline and tuning example, then add a reproducible tutorial whose documented example runs successfully.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- data, documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100