Linear Regression is a simple yet effective prediction that models any data to predict an output based on the assumption that it is modeled by a linear relationship. This algorithm searches the Regression line, which is nothing more than a straight line, considering the mean of all values matched by the correlation between the variables. It is used to predict values and is simple to use.

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