housing-data
There are 56 repositories under housing-data topic.
opengeos/streamlit-geospatial
A multi-page streamlit app for geospatial
clhenrick/am-i-rent-stabilized
A web app to inform NYC residents about rent stabilization
frankurcrazy/591HousingApi
將 591 租屋網的資訊，轉換成 JSON 格式
bcgov/housing-data-visualization-project
Housing Data: BCIC Innovation Exchange™ Public Service Challenge for BC Stats
mevers/allhomes
R package to obtain past sales data from allhomes.com.au
sunlightpolicy/sql4housing
Create housing databases
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.
hassan-ademola/Washington-Housing-Prices-Predictions
A machine learning project that explores and predicts the prices of houses in Washington, USA
Nasdin/GA_machine_learning_projects
A collection of Machine learning projects provided by coursework in GA, 2017
UBC-MDS/Vancouver-Property-Value-Analysis
Data Visualisation application to show the distribution of property values across the City of Vancouver
eyayaw/cleaning-RWI-GEO-RED
R scripts for cleaning Immoscout24/RWI-GEO-RED data
kennymkchan/greater-toronto-area-housing-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.
kylejott/ImmobilienScoutRestPriceHistoryAPI
A basic script in R for how to pull data from ImmobilienScout24's Rest Price History API
ricardo-hdz/flamingo_project
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.
Irfan93/Data-Analysis-Chapter-3-R-for-Data-Science
Selected Questions answered from the book and the two different datasets were analyzed and presented
adogb/housing-market-dk
Exploration and visualisation of the housing market in Denmark, using web scraping
athena15/project_luther
Beating the Zillow Zestimate: Predicting King County Home Prices
Benazir023/data_cleaning
Herein, SQL queries are used to clean Nashville Housing data
brianwei01/Northampton-County-Property-Records
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.
compass-collective/oakland-vacant-houses
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.
flowstateeng/Excel-Net
A neural network in a single Excel spreadsheet.
gwuah/lamaison
One place for tertiary students and workers to find affordable hostels/housing
minheeseo/web-scraping
Extract data from the web using Selenium, BeautifulSoup, and Pandas
PreLease/community-data-reports
We take public open housing data and deliver quality reports
roweyerboat/King_County_Housing_Data
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%.
sciencelee/seattle-housing-model
Build a model to identify the importance and effect of home characteristics on sale prices in the Seattle area.
Zhikeng/personal-project-Zhikeng
MA Housing Assistance APP
Aiswariya-R/SQL-project
Comprehensive data cleaning of the Nashville housing market data (2013-2016) using SQL, sourced from Kaggle.
blleshi/San_Francisco_Housing_Market_Analysis
PropTech; San Francisco Housing Analysis
julianprieto21/GBA_Houses_EDA
Exploratory Data Analisys of housing in the Gran Buenos Aires (GBA), Argentina. The data was collected from MercadoLibre Ar.
LinaYorda/prediction-housing-datset
This project aims to build classification and regression models for housing data using supervised machine learning techniques.
Rishijain13/EDA-AND-DATA_CLEANING-WITH-MS-SQL
Exploratory Data Analysis(EDA) on Covid-19 Data, DATA CLEANING on Housing Data
Rjonah321/House-price-estimator
A Ridge regression model used to estimate house prices.
IkChristine/House-Sales-Prediction-in-King-County-USA
Housing Prices Data Analysis with Python
osabnis1776/Syracuse-Housing-Database
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.