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.

將 591 租屋網的資訊，轉換成 JSON 格式

Housing Data: BCIC Innovation Exchange™ Public Service Challenge for BC Stats

Create housing databases

R package to obtain past sales data from allhomes.com.au

A multi-page streamlit app for geospatial

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

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.

A collection of Machine learning projects provided by coursework in GA, 2017

Data Visualisation application to show the distribution of property values across the City of Vancouver

A machine learning project that explores and predicts the prices of houses in Washington, USA

R scripts for cleaning Immoscout24/RWI-GEO-RED data

Automated ACS-HUD data linking for housing analysis: eligibility and protected-class flags, and analysis-ready county summaries.

A basic script in R for how to pull data from ImmobilienScout24's Rest Price History API

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

Exploration and visualisation of the housing market in Denmark, using web scraping

One place for tertiary students and workers to find affordable hostels/housing

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.

MA Housing Assistance APP

AI-powered Q&A system for U.S. affordable housing policy using RAG over 2,500+ HUD documents and 24 CFR

Beating the Zillow Zestimate: Predicting King County Home Prices

Python ETL pipeline for analyzing Tennessee housing trends with SQLite and interactive Power BI report & Tableau dashboard.

interactive map highlighting vacant and abandoned properties in Oakland, California. Our goal is to raise awareness about the issue and advocate for solutions that turn these properties into valuable community assets.

Extract data from the web using Selenium, BeautifulSoup, and Pandas

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