2020 Hacklytics Project
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Updated
Feb 23, 2020 - Jupyter Notebook
2020 Hacklytics Project
Predicting self-reported health in seniors who participated in the Behavioral Risk Factor Surveillance System (CRFSS) 2015 Survey.
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."
A data Scientist is researching census, crime, and school data for a given neighborhood or district to make predictions about educational 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
This is a reproducible Bayesian Network analysis for the modification effect of Socioeconomic status on the effect of smoking on asthma-related outcomes
This repository contains an EDA notebook analyzing regional and demographic factors contributing to educational disparities in the U.S., highlighting trends and key insights.
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