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Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.

0 votes
1 answer
689 views

Feature scaling in Linear Regression

I always use Linearregression() class in sklearn library for creating a linear regression model. According to my understanding, we need feature scaling in linear regression when we use Stochastic grad …
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2 votes
1 answer
815 views

Dummy Variable trap in Linear Regression

The dummy variable trap is a common problem with linear regression when dealing with categorical variables, since one hot encoding introduces redundancy, so if we have m categories in our categorical …
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