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GitHub topics: boosted-regression-trees

nmaffe/iceboost_webapp

Visualization tool for the iceboost model

Language: Jupyter Notebook - Size: 2.05 MB - Last synced at: 8 days ago - Pushed at: 9 days ago - Stars: 1 - Forks: 0

cjabradshaw/AusSoilHg

Predicting continental distribution of soil mercury concentration in Australia

Language: R - Size: 296 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 2

cjabradshaw/AusChildHlthClim

Australia SA3-level analysis of relationship between child mortality/morbidity and climate conditions/air pollution

Language: R - Size: 9.18 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 2

cjabradshaw/childDiarr

Determining the most important predictors of diarrhoea in children under five in South and Southeast Asia by exploring the spatiotemporal association between diarrhoeal incidence and various behavioural, socio-demographic, and environmental factors.

Language: R - Size: 41.3 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 2

Related Keywords
boosted-regression-trees 4 machine-learning 3 australia 2 pollution 2 child-mortality 2 child-health 2 glacier 1 precipitation 1 sa3 1 temperature 1 bangladesh 1 cambodia 1 climate-change 1 diarrhoea 1 health 1 india 1 low-and-middle-income-countries 1 myanmar 1 nepal 1 pakistan 1 philippines 1 resampling 1 south-asia 1 southeast-asia 1 spatial-autocorrelation 1 timor-leste 1 modeling 1 arid-lands 1 biogeochemical-cycle 1 mercury 1 random-forest 1 soil 1 soil-chemistry 1 spatial 1 spatial-analysis 1 air-pollution 1 apgar 1 asthma 1 birthweight 1 household-size 1 income 1 isothermality 1 morbidity 1 no2 1 pm25 1