Needed Dataset
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- Dominant language
- Python
- Stars
- 82
- Forks
- 21
- Avg merge
- 35m
- Merged PRs (30d)
- 1
Description
Hello,
I commented yesterday about downloading data for a senior design project, I've been downloading the dataset since yesterday and I'm kind of short on time for this project. The data is around 2.3 TB and my dataset is only needed for the cardiovascular patients. I have a dataset on an excel document of over 50,000 patients, would it be okay if I created a machine learning model for predicting cardiovascular diseases by just using 5000 of the patients?
Contributor guide
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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 repository file, test, or entry point; it discusses a 2.3 TB dataset, a cardiovascular-patient subset, and an Excel file of over 50,000 patients. Start by clarifying whether the request is for dataset access, permission to use 5,000 patients, or a repository change; done would require a maintainer-approved, actionable scope.
Written by the indexing model from the issue text.
Assessment
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 10/100