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 ...

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A collection of datasets of ML problem solving. Contribute to selva86/datasets development by creating an account on GitHub.

Added iris and housing datasets, also added info about all datasets. 6 years ago History 506 lines (506 loc) 40.3 KB File metadata and controls

housing.csv. GitHub Gist: instantly share code, notes, and snippets.

This is the first benchmark dataset for houses prices that contains both images and textual information that was introduced in our paper.

Every row in the dataset denotes information about property (house, townhouse etc) , price it is sold for, seller information and more characteristics such as ...

The dataset we will use is the "California Housing Prices" dataset from the statlib repository, which is based on data from the 1990 census. This dataset offers ...

Housing dataset which contains information about different houses in Boston. This data was originally a part of UCI Machine Learning Repository and has been ...

Used basic python techniques to clean the Melbourne Housing Dataset which had almost 40% rows with missing values. The clean data is now ready for Machine ...