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.

• UpdatedNov 16, 2023
• Python

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.

• UpdatedSep 3, 2021
• Python

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

• UpdatedSep 8, 2023
• Python

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

• UpdatedJan 14, 2023
• PHP

Using rayshader to visualise 3D data with Hong Kong map

• UpdatedAug 28, 2021
• R

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

• UpdatedFeb 16, 2023
• Jupyter Notebook

Various topics with different sets of data.

• UpdatedNov 14, 2018
• Jupyter Notebook

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

• UpdatedNov 2, 2018
• Jupyter Notebook

Kaggle Competition - House Prices: Advanced Regression Techniques

• UpdatedMar 27, 2017
• Python

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

• UpdatedApr 29, 2019
• Jupyter Notebook

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

• UpdatedApr 28, 2024
• TeX

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

• UpdatedJan 10, 2018
• Jupyter Notebook

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

• UpdatedOct 29, 2022
• Python

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

• UpdatedJul 30, 2022
• Jupyter Notebook

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

• UpdatedMar 10, 2018
• Jupyter Notebook

Predicting housing prices using various Machine Learning algorithms in Python.

• UpdatedMar 17, 2021
• Jupyter Notebook

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.

• UpdatedFeb 11, 2020
• Jupyter Notebook

House Price Prediction

• UpdatedApr 29, 2023
• Jupyter Notebook

A tool for generating heatmaps from housing price data

• UpdatedNov 10, 2017
• Go

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

• UpdatedJan 31, 2019
• R