There are 3 repositories under housing-data topic.
A multi-page streamlit app for geospatial
A web app to inform NYC residents about rent stabilization
Housing Data: BCIC Innovation Exchange™ Public Service Challenge for BC Stats
Create housing databases
Forecast of housing prices index in Croatia based on World Bank datasets such as credit interest rates, gdp and consumer power.
A machine learning project that explores and predicts the prices of houses in Washington, USA
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
R scripts for cleaning Immoscout24/RWI-GEO-RED data
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 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
Beating the Zillow Zestimate: Predicting King County Home Prices
Herein, SQL queries are used to clean Nashville Housing data
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.
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.
A neural network in a single Excel spreadsheet.
Extract data from the web using Selenium, BeautifulSoup, and Pandas
We take public open housing data and deliver quality reports
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%.
Build a model to identify the importance and effect of home characteristics on sale prices in the Seattle area.
MA Housing Assistance APP
Comprehensive data cleaning of the Nashville housing market data (2013-2016) using SQL, sourced from Kaggle.
Exploratory Data Analisys of housing in the Gran Buenos Aires (GBA), Argentina. The data was collected from MercadoLibre Ar.
This project aims to build classification and regression models for housing data using supervised machine learning techniques.
Exploratory Data Analysis(EDA) on Covid-19 Data, DATA CLEANING on Housing Data
A Ridge regression model used to estimate house prices.
PropTech; San Francisco Housing Analysis
Housing Prices Data Analysis with Python
A comprehensive analysis of housing data in the Syracuse area using T-SQL and Azure Data Studio. This project includes SQL scripts for database creation, data insertion, and clean-up, along with detailed views and user-defined functions for data retrieval and analysis. Licensed under the BSD 2-Clause License.