https://github.com/coecms/ml-drought-prediction-tutorial
A tutorial for drought prediction using random forest. This has been created for the CLEX Winter School in Hobart, June 2023.
Science Score: 23.0%
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 1 DOI reference(s) in README -
✓Academic publication links
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○Scientific vocabulary similarity
Low similarity (0.7%) to scientific vocabulary
Last synced: 9 months ago
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Repository
A tutorial for drought prediction using random forest. This has been created for the CLEX Winter School in Hobart, June 2023.
Basic Info
- Host: GitHub
- Owner: coecms
- License: apache-2.0
- Language: Jupyter Notebook
- Default Branch: main
- Size: 9.25 MB
Statistics
- Stars: 0
- Watchers: 4
- Forks: 0
- Open Issues: 0
- Releases: 1
Created about 3 years ago
· Last pushed over 2 years ago
Metadata Files
Readme
License
README.md
ML-Drought-Prediction-Tutorial
A tutorial for drought prediction using random forest. This has been created for the CLEX Winter School in Hobart, June 2023.
Owner
- Name: ARC COE for Climate Extremes: Computational Modelling Systems
- Login: coecms
- Kind: organization
- Website: http://climate-cms.unsw.wikispaces.net
- Repositories: 136
- Profile: https://github.com/coecms