Housing dataset which contains information about different houses in Boston.This data was originally a part of UCI Machine Learning Repository and has been removed now.
We can also access this data from the scikit-learn library.
There are 506 samples and 13 feature variables in this dataset. The objective is to predict the value of prices of the house using the given features.
This is a copy of UCI ML housing dataset.
https://archive.ics.uci.edu/ml/machine-learning-databases/housing/
This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University.
The Boston house-price data of Harrison, D. and Rubinfeld, D.L. 'Hedonic prices and the demand for clean air', J. Environ. Economics & Management, vol.5, 81-102, 1978. Used in Belsley, Kuh & Welsch, 'Regression diagnostics ...', Wiley, 1980. N.B. Various transformations are used in the table on pages 244-261 of the latter.
The Boston house-price data has been used in many machine learning papers that address regression problems.
Here are a few places you can look for data
https://www.kaggle.com/datasets