JuliaAI / JuliaAI/DataScienceTutorials.jl

Tutorial on predicting future stock covariances (using pipeline/tuning)

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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

  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

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

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