housing-prices
There are 1 repository under housing-prices topic.
AnthonyBloomer / daftlistings
A library that enables programmatic interaction with daft.ie. Daft.ie has nationwide coverage and contains about 80% of the total available properties in Ireland.
Language:Python 168An API to allow developers to create applications using hyper local data on 27m homes, over 1m sale and rental listings, and 15 years of sold price data in the UK.
Language:Python 79- mls-real-estate-scraper-for-realtor.ca
harry-s-grewal / mls-real-estate-scraper-for-realtor.ca
Python MLS and Real-Estate Data Scraper for the Realtor.ca Website
Language:Python 52 RubixML / Housing
An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.
Language:PHP 46- HK_Properties_Price_Distribution
cydalytics / HK_Properties_Price_Distribution
Using rayshader to visualise 3D data with Hong Kong map
Language:R 22 ahmed1996said / dubai-housing-prices
ML model trained on data from Bayut.com to predict housing prices in Dubai
Language:Jupyter Notebook 15atse0612 / Side-Projects-For-Fun
Various topics with different sets of data.
Language:Jupyter Notebook 12rochiecuevas / shared_accommodations
Exploration of the impact of the peer-to-peer short-term rental industry to the housing market in San Francisco
Language:Jupyter Notebook 10tiwari91 / Housing-Prices
Kaggle Competition - House Prices: Advanced Regression Techniques
Language:Python 7aahouzi / Optimization-for-Machine-Learning
Implementation of 11 variants of Gradient Descent algorithm from scratch, applied to the Boston Housing Dataset.
Language:Jupyter Notebook 6An API to retrieve property price statistics in Ireland and the UK.
Language:Python 6ShiqinHuo / wuhan_house_price_crawler
武汉东湖高新片区光谷&软件园二手房房价爬虫。data source: 房天下
Language:Jupyter Notebook 6msahamed / geophy_nyc_housing_prices
Geospatial data analytics: Affects of community gardens on housing prices in New York City
Language:Jupyter Notebook 5stevenobadja / house_prices_melbourne
A compilation of different models that predict a home's value (in Melbourne, Australia) and determine which model performs better and why.
Language:Jupyter Notebook 5eyayaw / cleaning-RWI-GEO-RED
R scripts for cleaning Immoscout24/RWI-GEO-RED data
Language:R 4Replication code for my paper `Geographic determinants and the price elasticity of housing supply in Germany`
Language:TeX 4hassan-ademola / Washington-Housing-Prices-Predictions
A machine learning project that explores and predicts the prices of houses in Washington, USA
Language:Jupyter Notebook 4- Language:Go 4
RCJansonVTFL / HousePricesML
Predicting housing prices using various Machine Learning algorithms in Python.
Language:Jupyter Notebook 4teomotun / US-Housing-Market-Analysis
Review of United States’ housing data since the housing market collapsed in 2008 to identify how the market has or has not rebounded between then and 2019, determine what consumer/market factors affect prices, and show what prices may look like in the future.
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 4ammarasmro / Real-Estate-Prediction
An attempt to classify properties in Edmonton based on their prices
Language:Python 3earthat / London-House-Price-Prediction-using-NN
This one uses the NARX model to predict the forthcoming house price in months of 2017.
Language:MATLAB 3Gerardoj09 / House_Pricing_Prediction
Online calculator to predict the price of houses using the data collected from Ames, Iowa
Language:Jupyter Notebook 3- 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.
kylejott / ImmobilienScoutRestPriceHistoryAPI
A basic script in R for how to pull data from ImmobilienScout24's Rest Price History API
Language:R 3ricardo-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 3- Language:Jupyter Notebook 3
trujamal / assess-swift
The app was designed around creating an AR iOS Application that implemented Zillow API, Google Cloud Platform, and also using Mongo DB for our database. This app allows users to receive basic housing information right at your fingertips.
Language:Swift 3benjaminweymouth / Housing-Market-Forecasting-Time-Series-Analysis
This repo uses Natural Langauage Processing, time series analysis, and ARIMA to explore predictive housing trend analysis.
Language:Jupyter Notebook 2chvieira2 / housing_crawler
Web crawler to collect housing information
Language:Python 2hayato-n / BayesianMarketSegmentation
Bayesian Market Segmentation Algorithm for Hedonic Analysis
Language:Jupyter Notebook 2- ames_ggplot2_visualization
indrayantom / ames_ggplot2_visualization
Contains data visualization hands-on using Ames Housing Prices dataset from Kaggle. Done with tidyverse environment in R (Rstudio). Also was submitted as Homework Day 12 : Data Visualization in R .
Language:HTML 2 liblaf / housing-price-model
Engineering Economy 课外拓展性研究小论文
Language:TeX 2syedmfuad / fmm
R, Julia and Python implementation of the two submarket fully endogenized finite mixture model used in forthcoming articles by Fuad and Farmer (202-) and Fuad, Farmer, and Abidemi (202-).
Language:R 2- county-housing-prices
yikuany / county-housing-prices
The study employs Moran’s I statistic and Local Indicators of Spatial Association (LISA) to analyze spatial patterns and dependencies in housing prices across U.S. counties.
Language:Jupyter Notebook 2
