A multi-page streamlit app for geospatial
Agent-based model of the UK housing market.
Modeling Economies and Markets with NetLogo
Spatial agent-based model of the UK housing market.
A multi-page streamlit app for geospatial
Real-time Japan rent & commute insight tool. Optimize your living circle by balancing commute times to multiple destinations with localized housing market data.
This is a large dataset of nearly 7 million rows! Is the Housing Market crashing? Housing market data is most useful at the zip code level. The housing market data will include features such as sale price, homes sold, new listings, days on market, and price drops. This project includes a Tableau Dashboard (link is attached to the readme!)
Project to create an agent-based model of the Spanish housing market, derived from the INET@Oxford and BoE agent-based model of the UK housing market.
Forecast of housing prices index in Croatia based on World Bank datasets such as credit interest rates, gdp and consumer power.
End-to-end rental market analysis powered by SQL and Python. SQL handles database creation, feature engineering, and aggregation, while Python enables clustering and visualization. Together they deliver actionable insights into how construction age and location shape rent prices
Python project for analyzing housing market trends
Clustering California Housing with K-means
Applied Spatially Constrained Multivariate Clustering
This repository contains a Python implementation of the Top Trading Cycle Algorithm, a mechanism for solving the problem of allocating indivisible items or resources among agents with preferences. The algorithm is widely used in the field of matching theory, particularly in the context of school choice and house allocation problems.
Bayesian Market Segmentation Algorithm for Hedonic Analysis
A data analysis project exploring Canada’s housing market using the New Housing Price Index, with insights into trends, regional variations, and price dynamics over time.
Melbourne housing segmentation analysis to evaluate market trends and assess property values
This repository contains a project developed for DATA 78000 (Advanced Interactive Data Visualization Studio) at the CUNY Graduate Center, taught by Professor Aucher Serr.
Which city is better for buying a Home - San Francisco, New York or Austin ?
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