housing-data
There are 3 repositories under housing-data topic.
opengeos / streamlit-geospatial
A multi-page streamlit app for geospatial
Language:Python 802- am-i-rent-stabilized
clhenrick / am-i-rent-stabilized
A web app to inform NYC residents about rent stabilization
Language:JavaScript 33 - Language:Python 16
bcgov / housing-data-visualization-project
Housing Data: BCIC Innovation Exchange™ Public Service Challenge for BC Stats
- Language:R 7
sunlightpolicy / sql4housing
Create housing databases
Language:Python 6anastazijaverovic / 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.
Language:R 5hassan-ademola / Washington-Housing-Prices-Predictions
A machine learning project that explores and predicts the prices of houses in Washington, USA
Language:Jupyter Notebook 4Nasdin / GA_machine_learning_projects
A collection of Machine learning projects provided by coursework in GA, 2017
Language:Jupyter Notebook 4UBC-MDS / Vancouver-Property-Value-Analysis
Data Visualisation application to show the distribution of property values across the City of Vancouver
Language:R 4kylejott / ImmobilienScoutRestPriceHistoryAPI
A basic script in R for how to pull data from ImmobilienScout24's Rest Price History API
Language:R 3- Language:Jupyter Notebook 2
eyayaw / cleaning-RWI-GEO-RED
R scripts for cleaning Immoscout24/RWI-GEO-RED data
Language:R 2Irfan93 / Data-Analysis-Chapter-3-R-for-Data-Science
Selected Questions answered from the book and the two different datasets were analyzed and presented
- greater-toronto-area-housing-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.
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.
Language:Jupyter Notebook 2adogb / housing-market-dk
Exploration and visualisation of the housing market in Denmark, using web scraping
Language:Python 1athena15 / project_luther
Beating the Zillow Zestimate: Predicting King County Home Prices
Language:Jupyter Notebook 1Benazir023 / data_cleaning
Herein, SQL queries are used to clean Nashville Housing data
- Language:JavaScript 1
minheeseo / web-scraping
Extract data from the web using Selenium, BeautifulSoup, and Pandas
Language:Python 1roweyerboat / 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%.
Language:Jupyter Notebook 1sciencelee / seattle-housing-model
Build a model to identify the importance and effect of home characteristics on sale prices in the Seattle area.
Language:HTML 1Zhikeng / personal-project-Zhikeng
MA Housing Assistance APP
Language:JavaScript 1Gi010 / PortfolioProjects
Exploring and manipulating the data on various topics
0julianprieto21 / GBA_Houses_EDA
Exploratory Data Analisys of housing in the Gran Buenos Aires (GBA), Argentina. The data was collected from MercadoLibre Ar.
Language:Jupyter Notebook 0LinaYorda / prediction-housing-datset
This project aims to build classification and regression models for housing data using supervised machine learning techniques.
Language:Jupyter Notebook 0poonam-ux / Yelp_reviews_and_housing_markets_ETL
Data engineering project in Python to perform ETL and CRUD operations on 2M+ Yelp reviews, and 2 cities’ housing data using Pandas, SQLAlchemy, NumPy, PrimaryKeys.
Language:Jupyter Notebook 0prateekjalgaonkar / HousingCaseStudy
To identify the variables affecting house prices, e.g. area, number of rooms, bathrooms, etc. To create a linear model that quantitatively relates house prices with variables such as number of rooms, area, number of bathrooms, etc. To know the accuracy of the model, i.e. how well these variables can predict house prices.
Language:Jupyter Notebook 0PreLease / community-data-reports
We take public open housing data and deliver quality reports
Language:Jupyter Notebook 0Rishijain13 / EDA-AND-DATA_CLEANING-WITH-MS-SQL
Exploratory Data Analysis(EDA) on Covid-19 Data, DATA CLEANING on Housing Data
0welijahclark / SAS-Housing-Demand-Econometrics
A SAS analysis project on US housing demand
Language:SAS 0bsamimi25 / Cleaning-Housing-Data
Cleaned Housing Data using Postgresql ready for data visualizations.
IkChristine / House-Sales-Prediction-in-King-County-USA
Housing Prices Data Analysis with Python
Language:Jupyter Notebookjohnathanalyst / Excel-Net
A neural network in a single Excel spreadsheet.
specialOne-coder / Neo4J-Housing
Neo4j Project for housing and urbanism in Paris
