dustinmarshall
Data Science & Public Policy Msc grad @ UChicago | Research Assistant @ Development Innovation Lab. Private course repositories available to share upon request
University of ChicagoLos Angeles, CA
Pinned Repositories
data_science_subject_classifier
Source code for a simple data science subject classifier to tag The Rockefeller Foundation’s grant database.
data_visualization_for_policy_analysis
A repository for the fall 2022 course, "Data Visualization for Policy Analysis", taught as part of the MS in Computational Analysis for Public Policy program.
detecting_partisan_voting_using_SVD
This project uses singular value decomposition and non-negative matrix factorization to detect partisanship in voting behavior in national and state (Illinois) legislatures.
DocGPT
A chatbot application built using a dataset of 257k doctor-patient dialogs and OpenAI's Completions and Embedding APIs.
dustinmarshall.github.io
less-vacant-places-more-green-spaces
A functional tool for urban planners to identify neighborhoods with disproportionately few green spaces and disproportionately many vacant lots to be considered for conversion into green spaces.
predicting_gentrification_using-ML
Predicting gentrification in Chicago with tract-level neighborhood characteristics. This repo is contains the CAPP30254 final project for spring 2022 term at UChicago.
proj-less-parking-more-parks
proj-less-parking-more-parks created by GitHub Classroom
dustinmarshall's Repositories
dustinmarshall/DocGPT
A chatbot application built using a dataset of 257k doctor-patient dialogs and OpenAI's Completions and Embedding APIs.
dustinmarshall/data_science_subject_classifier
Source code for a simple data science subject classifier to tag The Rockefeller Foundation’s grant database.
dustinmarshall/data_visualization_for_policy_analysis
A repository for the fall 2022 course, "Data Visualization for Policy Analysis", taught as part of the MS in Computational Analysis for Public Policy program.
dustinmarshall/detecting_partisan_voting_using_SVD
This project uses singular value decomposition and non-negative matrix factorization to detect partisanship in voting behavior in national and state (Illinois) legislatures.
dustinmarshall/dustinmarshall.github.io
dustinmarshall/less-vacant-places-more-green-spaces
A functional tool for urban planners to identify neighborhoods with disproportionately few green spaces and disproportionately many vacant lots to be considered for conversion into green spaces.
dustinmarshall/predicting_gentrification_using-ML
Predicting gentrification in Chicago with tract-level neighborhood characteristics. This repo is contains the CAPP30254 final project for spring 2022 term at UChicago.