2020 Hacklytics Project
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Updated
Feb 23, 2020 - Jupyter Notebook
2020 Hacklytics Project
This is a reproducible Bayesian Network analysis for the modification effect of Socioeconomic status on the effect of smoking on asthma-related outcomes
We analyse population-adjusted confirmed case rates based on daily US county-level variations in COVID-19 confirmed case counts during the first several months of the pandemic to evaluate the spatial dependence between neighbouring counties and quantify the overall spatial effect of socio-economic demographic factors on the prevalence of COVID-19
Accompanying Github repository to the Ursatech Berkeley study "2020 Ursatech Study on Academic Performance as Impacted by the COVID-19 Pandemic Through the Perspective of Race, Income, Unemployment, and Poverty."
Predicting self-reported health in seniors who participated in the Behavioral Risk Factor Surveillance System (CRFSS) 2015 Survey.
A data Scientist is researching census, crime, and school data for a given neighborhood or district to make predictions about educational outcomes
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