housing-market
There are 29 repositories under housing-market topic.
opengeos/streamlit-geospatial
A multi-page streamlit app for geospatial
INET-Complexity/housing-model
Agent-based model of the UK housing market.
EmbraceLife/NetLogo-Modeling
Modeling Economies and Markets with NetLogo
adrian-carro/spatial-housing-model
Spatial agent-based model of the UK housing market.
adrian-carro/housing-model-spain
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.
anastazijaverovic/Property_Prices_Forecast_Croatia
Forecast of housing prices index in Croatia based on World Bank datasets such as credit interest rates, gdp and consumer power.
JohanWinther/Bostadsbotten
Håll din bostadskö förnyad automatiskt!
MohammadYasinKarbasian/Top-Trading-Cycle
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.
techshot25/California-Housing
Clustering California Housing with K-means
hayato-n/BayesianMarketSegmentation
Bayesian Market Segmentation Algorithm for Hedonic Analysis
nickkunz/submarkets
Applied Spatially Constrained Multivariate Clustering
vincentpun123/Melbourne-Housing-Market-Segmentation-Analysis
Melbourne housing segmentation analysis to evaluate market trends and assess property values
BayAreaMetro/regional-housing-needs-assessment
Scripts for Bay Area Regional Housing Needs Assessment
federicozukierman/Airbnb-Madrid
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.
jramadani/housing-data
This repository contains a project developed for DATA 78000 (Advanced Interactive Data Visualization Studio) at the CUNY Graduate Center, taught by Professor Aucher Serr.
peterhorvath97/housing_tvar
Research project: Could Interest Rate Hikes Burst The Housing Bubble?
RichieGarafola/Redfin-NewYorkHousingMarket
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!)
skvuong/MelbourneHousingMarket
Melbourne Housing Market Analysis
virajvaidya/VARAustraliaHousingForecast
Vector Autoregressive Model with 20 variables - Australian Housing Data.
AReburg/Austrian-Real-Estate-Analysis
Austrian housing market information deployed as Dash web app.
Blazoned/HousingScraper
This fork of the housing scraper is build by Roald1519166 made to get more insight into rental properties on the housing market. This fork exists to help him gain further insight into the collected data by assessing data quality and reliability, and adding new insights using ML, following an advise to improve his passion project.
nishantsingh93/Data-Viz-Final-Project
Which city is better for buying a Home - San Francisco, New York or Austin ?
skvuong/TorontoRentalMarket
Toronto RealEstate Market Analysis
Triaccau/Na_housing_project
Project within data analysis intertwined to housing market in Nashville. Data cleaning with Microsoft SQL Server.
davidabbu/Exploring-the-spatial-segmentation-of-housing-markets-from-online-listings
Data and materials complementary for the publication "Exploring the spatial segmentation of housing markets from online listings".
FedericoTs/IBM-Capstone---London-Real-Estate---Rent-Analysis
London Rental market Analysis - Python and Jupyter Notebook
rakibhhridoy/AppliedMachineLearningHousing-Regression
Let's take the Housing dataset which contains information about different houses in Boston. This data was originally a part of UCI Machine Learning Repository and has been removed now. We can also access this data from the scikit-learn library. The objective is to predict the value of prices of the house using the given features.
ricardoariasalazar/Housing-Information-Melbourne
Integration of 7 different datasets in various formats about housing information in Victoria, Australia. And study the effect of different normalization/transformation methods
shehio/Everything-Macroeconomics
How Are Economies Doing