housing-prices

A Python library enabling programmatic querying, filtering, and analysis of property listings on Daft.ie

An 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.

Python MLS and Real-Estate Data Scraper for the Realtor.ca Website

An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.

Using rayshader to visualise 3D data with Hong Kong map

ML model trained on data from Bayut.com to predict housing prices in Dubai

Various topics with different sets of data.

Exploration of the impact of the peer-to-peer short-term rental industry to the housing market in San Francisco

Replication code for my paper `Geographic determinants and the price elasticity of housing supply in Germany`

Kaggle Competition - House Prices: Advanced Regression Techniques

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

A compilation of different models that predict a home's value (in Melbourne, Australia) and determine which model performs better and why.

An API to retrieve property price statistics in Ireland and the UK.

A tool for generating heatmaps from housing price data

Geospatial data analytics: Affects of community gardens on housing prices in New York City

Implementation of 11 variants of Gradient Descent algorithm from scratch, applied to the Boston Housing Dataset.

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.

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.

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.

Predicting housing prices using various Machine Learning algorithms in Python.