Boston house prices dataset is a classical linear regression task which contains 506 houses as training and testing examples and their prices based on features such as weighted distances to five Bosto
Boston house price dataset includes 506 samples, and each sample comprises of 12 continuous input attributes, one binary-valued attribute and one continuous output
### Context To Explore more on Regression Algorithm ### Content Each record in the database describes a Boston suburb or town. The data was drawn from the Boston Standard Metropolitan Statistical
