A multi-page streamlit app for geospatial
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Updated
Dec 8, 2025 - Python
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.
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.
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!)
End-to-end ML project predicting house prices using Python, scikit-learn, and Flask
Forecast of housing prices index in Croatia based on World Bank datasets such as credit interest rates, gdp and consumer power.
Clustering California Housing with K-means
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.
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
Melbourne housing segmentation analysis to evaluate market trends and assess property values
Python project for analyzing housing market trends
Applied Spatially Constrained Multivariate Clustering
Bayesian Market Segmentation Algorithm for Hedonic Analysis
Which city is better for buying a Home - San Francisco, New York or Austin ?
In this project I analyze the main indicators of Airbnb in Madrid. Among others, I analyze the number of total accommodations, the number of owners, the typology of accommodations, the average price per district and the concentration of properties.
A data analytics project for exploring housing prices in King County, WA. Compare city and countryside properties with an interactive app and gain detailed insights into real estate market trends.
Add a description, image, and links to the housing-market topic page so that developers can more easily learn about it.
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