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.

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.

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

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

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

Kaggle Competition - House Prices: Advanced Regression Techniques

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

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

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

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

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

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.

Data Visualisation application to show the distribution of property values across the City of Vancouver

A tool for generating heatmaps from housing price data

A machine learning project that explores and predicts the prices of houses in Washington, USA

Online calculator to predict the price of houses using the data collected from Ames, Iowa

Predicting housing prices using various Machine Learning algorithms in Python.