Which city is better for buying a Home - San Francisco, New York or Austin ?

Modeling Economies and Markets with NetLogo

Clustering California Housing with K-means

Spatial agent-based model of the UK housing market.

London Rental market Analysis - Python and Jupyter Notebook

Applied Spatially Constrained Multivariate Clustering

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.

Melbourne Housing Market Analysis

Toronto RealEstate Market Analysis

Forecast of housing prices index in Croatia based on World Bank datasets such as credit interest rates, gdp and consumer power.

This repository contains a project developed for DATA 78000 (Advanced Interactive Data Visualization Studio) at the CUNY Graduate Center, taught by Professor Aucher Serr.

Melbourne housing segmentation analysis to evaluate market trends and assess property values

Scripts for Bay Area Regional Housing Needs Assessment

Håll din bostadskö förnyad automatiskt!

Project within data analysis intertwined to housing market in Nashville. Data cleaning with Microsoft SQL Server.

Integration of 7 different datasets in various formats about housing information in Victoria, Australia. And study the effect of different normalization/transformation methods

Agent-based model of the UK housing market.

Vector Autoregressive Model with 20 variables - Australian Housing Data.

Bayesian Market Segmentation Algorithm for Hedonic Analysis

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!)