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.

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

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

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.

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

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

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.

Predicting housing prices using various Machine Learning algorithms in Python.

A tool for generating heatmaps from housing price data

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

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