# Description
This dataset contains information collected by the U.S Census Service concerning housing in the area of Boston Mass. It was obtained from the StatLib archive, and has been used extensively throughout the literature to benchmark algorithms. However, these comparisons were primarily done outside of Delve and are thus somewhat suspect. The dataset is small in size with only 506 cases.

# Source
[www.cs.toronto.edu](https://www.cs.toronto.edu/~delve/data/boston/bostonDetail.html)

The data was originally published by Harrison, D. and Rubinfeld, D.L. `Hedonic prices and the demand for clean air', J. Environ. Economics & Management, vol.5, 81-102, 1978.

# Dataset Naming

The name for this dataset is simply boston. It has two prototasks: nox, in which the nitrous oxide level is to be predicted; and price, in which the median value of a home is to be predicted

# Introduction of the 24 datasets
Following **24 Ultimate Data Science Projects To Boost Your Knowledge and Skills** [[Link]](https://www.analyticsvidhya.com/blog/2018/05/24-ultimate-data-science-projects-to-boost-your-knowledge-and-skills/). We will go through a sequence of classic data science projects to increase our skill