Interactive map exploring affordability across counties based on income and cost of living.
-
Updated
Aug 6, 2025 - Jupyter Notebook
Interactive map exploring affordability across counties based on income and cost of living.
Predict county-level electric vehicle (EV) adoption in the US using machine learning. This project uses time-series EV registration data and advanced feature engineering to train a Random Forest forecasting model, delivering 3-year local growth projections.
NeighborhoodGraph is an open-source civic intelligence platform that connects housing, property, ownership, infrastructure, GIS, and community data into an interactive knowledge graph. Explore neighborhoods, uncover relationships, analyze change over time, and visualize communities through AI-powered digital twins.
Predicting U.S. metro status using structural cost-of-living shares and machine learning.
To associate your repository with the county-level-analysis topic, visit your repo's landing page and select "manage topics."