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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
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.
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