Build a linear regression model in Python.

The Boston housing dataset can be loaded in scikit-learn using the command load_boston ( ) after from sklearn.datasets import load_boston.

Using this data, our model should be able to predict the value of a house using the features given in the dataset.

Submission should include an executable Python file demonstrating the prediction of housing prices and screenshots of the output.