A simple yet challenging project, to predict the housing price based on certain factors like house area, bedrooms, furnished, nearness to mainroad, etc. The ... |
This is the first dataset that contains images to be used for houses prices estimation. The dataset folder contains 2140 images, 4 images for each house. Also, ... |
This dataset is used for predicting house prices from both images and textual information. It is composed of 535 sample houses from California, USA. |
Kaggle is the world's largest data science community with powerful tools and resources to help you achieve your data science goals. |
In this dataset, we have information regarding the demography (income, population, house occupancy) in the districts, the location of the districts (latitude, ... |
Zillow Home Value Index (ZHVI): A measure of the typical home value and market changes across a given region and housing type. It reflects the typical value ... |
Load the California housing dataset (regression). Samples total. 20640 ... Description of the California housing dataset. framepandas DataFrame. Only ... |
We will demonstrate the power of projections using the UK property dataset, which contains data about prices paid for real-estate property in England and Wales. |
21 нояб. 2021 г. · The summary file contains data compiled from the questions asked of all people and about every housing unit in the U.S. Virgin Islands. |
Housing prices include housing rent prices indices, real and nominal house prices indices, and ratios of price to rent and price to income. |
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