Name: Dave Cook
Type: User
Company: Public and Private Data
Bio: Ultimately just a a data science and an intelligence analyst with a love of government, and bringing the dynamics of one problem to multiple issues and concerns
Location: Washington DC and Arlington VA
Dave Cook's Projects
Documentation and samples for ArcGIS Python API
Source code and data for The Economist's covid-19 excess deaths tracker
Data and code for Capstone Project
CrowdFlower API - Python client
R package to analyze DC crime data
Code and slides for the DC Data Science Meetup talk
What we know about the spread of the SARS-Cov-19 virus depends on the data used to model the spread. In the United States, as in many parts of the world, tracking the spread of COVID-19 cases is being done by individuals, teams, researchers and governments alike. As of now, monitoring and tracking relies on confirmed case numbers and it is unfortunate that many early Covid-19 cases went undetected due to lack of testing or disparities in access. For many reasons, current records of Covid-19 cases will represent a biased and considerable under count, of which will negatively impact predictions and modeling moving forward. We address this problem head on by estimating the excess deaths in 2020 for the United States using mortality numbers from the National Center for Health Statistics and the Provisional Mortality Data and the Provisional COVID-19 Death Counts by Week Ending Data and State to find estimates of excess deaths at a county level.
https://www.washingtonpost.com/graphics/2020/investigations/coronavirus-excess-deaths-may/
Repository used to create graphs about open government data
Georgetown Data Science DC Low Income Housing “Risk Of Loss” Group Project. Python based machine learning project looking at Section 8 housing.
DataforDemotoHRSA
Data and Analytics Repo
Code & Data for Introduction to Machine Learning with Scikit-Learn
My Dog's Name
R interface to the National Hydrography Dataset :droplet:
A registry of publicly available datasets on AWS
Georgetown Data Science Panama Papers Project
A basic Python library to demonstrate reading, writing, display, and simple processing of complex SAR data using the NGA SICD standard.
scikit-learn: machine learning in Python
The Signal Metadata Format Specification
Code and data related to examination of the Capitol Riots of 1/6/21
Cohort 9 Capstone
Materials for Georgetown Data Science certificate.
Materials for Georgetown Data Science certificate. http://scs.georgetown.edu/courses/1069/data-sources
Materials for Georgetown Data Science certificate. https://scs.georgetown.edu/programs/375/certificate-in-data-science/
Materials for Georgetown Data Science certificate. http://scs.georgetown.edu/courses/1069/data-sources
Visual analysis and diagnostic tools to facilitate machine learning model selection.