Implementation of Linear Regression

#artificialintelligence 

We're going to be implementing Linear Regression on the'Boston Housing' dataset. The Boston data set contains information about the different houses in Boston. There are 506 samples and 13 feature variables in this dataset. Our aim is to predict the value of prices of the house using the given features. To get basic details about our Boston Housing dataset like null values or missing values, data types etc. we can use .info()

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