A multi-page streamlit app for geospatial
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Updated
Nov 4, 2024 - Python
A multi-page streamlit app for geospatial
A web app to inform NYC residents about rent stabilization
Join us to deliver insights, understanding, and solutions to address the housing crisis in the United States.
Housing Data: BCIC Innovation Exchange™ Public Service Challenge for BC Stats
R package to obtain past sales data from allhomes.com.au
Create housing databases
Data Visualisation application to show the distribution of property values across the City of Vancouver
A collection of Machine learning projects provided by coursework in GA, 2017
A machine learning project that explores and predicts the prices of houses in Washington, USA
Forecast of housing prices index in Croatia based on World Bank datasets such as credit interest rates, gdp and consumer power.
A basic script in R for how to pull data from ImmobilienScout24's Rest Price History API
Data scraped from various sites for housing data around the greater Toronto area (GTA). Scrapes happen daily and data is in both JSON and CSV formats. Free to use for analysis.
R scripts for cleaning Immoscout24/RWI-GEO-RED data
A data analysis of the U.S. housing market using Zillow Research and Consumer Price Index (CPI) to compare housing costs and cost of living across multiple U.S. cities.
Selected Questions answered from the book and the two different datasets were analyzed and presented
Analysis of localised heat-housing trajectories for neighbourhoods in England and Wales.
This project looks at the housing data for King County, Washington. I created a predictive model that accurately predicts houses within the lower 75% price bracket to an accuracy of 92%.
This project involves creating a database in Oracle Database of 1,000 properties in Northampton County, Pennsylvania. Using Oracle SQL Developer, various SQL queries were executed to analyze the data, focusing on sales number fluctuations over the years, the effectiveness of the county's valuation process, etc.
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