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GitHub / Unusuala1l2e3x4 / Research-Spring2021
Investigating how carbon emissions, particulate matter, and climate variables/indices impact mortality from chronic respiratory disease. Working with pollutant, climate, mortality, population, and geographic datasets. Modeling with Random Forest regression.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Unusuala1l2e3x4%2FResearch-Spring2021
Stars: 4
Forks: 3
Open Issues: 0
License: None
Language: HTML
Repo Size: 1.91 GB
Dependencies:
0
Created: about 3 years ago
Updated: 2 months ago
Last pushed: 2 months ago
Last synced: 2 months ago
Commit Stats
Commits: 104
Authors: 2
Mean commits per author: 52.0
Development Distribution Score: 0.183
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/Unusuala1l2e3x4/Research-Spring2021
Topics: air-quality, carbon-emissions, data-science, dataset, disease, drought, machine-learning, mortality, particulate-matter, population, precipitation, random-forest, regression, respiratory, scikit-learn, scipy, shapefile, spatiotemporal, temperature, united-states
Files
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