juaml / juaml/harmonize_project
[ENH] Select high variance features in train set
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- Dominant language
- Jupyter Notebook
- Stars
- 1
- Forks
- 0
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Description
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
The issue body names no files, tests, or entry points. First clarify the intended variance criterion and locate where the training set is prepared; done should mean the high-variance feature selection behavior and its expected output are defined and verified.
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Assessment
- Tech stack
- jupyter-notebook
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100