https://github.com/adrn/ahw2017-ml
Machine learning at AstroHackWeek
Science Score: 13.0%
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○CITATION.cff file
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○.zenodo.json file
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○Scientific vocabulary similarity
Low similarity (3.8%) to scientific vocabulary
Keywords
adrn-teaching
Last synced: 11 months ago
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JSON representation
Repository
Machine learning at AstroHackWeek
Basic Info
- Host: GitHub
- Owner: adrn
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Size: 1.86 MB
Statistics
- Stars: 2
- Watchers: 3
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
adrn-teaching
Created almost 9 years ago
· Last pushed about 6 years ago
Metadata Files
Readme
License
README.md
Machine Learning at AstroHackWeek 2017
Adrian Price-Whelan & David W. Hogg
This repository contains some Jupyter notebooks to accompany the Machine Learning tutorial session at AstroHackWeek 2017.
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wget http://www.astro.princeton.edu/~adrn/ahw2017-ml-data.tar.gz
Machine learning resources
- See the lecture notes
- Lectures from a Machine Learning course by Andrew Ng
- scikit-learn basic tutorial and tutorial index
- Statistics, Data Mining, and Machine Learning in Astronomy (textbook)
Owner
- Name: Adrian Price-Whelan
- Login: adrn
- Kind: user
- Location: NYC
- Company: Flatiron Institute
- Website: adrian.pw
- Repositories: 124
- Profile: https://github.com/adrn
GitHub Events
Total
Last Year
Committers
Last synced: over 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Adrian Price-Whelan | a****w@g****m | 31 |
Issues and Pull Requests
Last synced: over 1 year ago
All Time
- Total issues: 0
- Total pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: 3 days
- Total issue authors: 0
- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 2.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
- adrn (1)