Linear regression is one of the most important regression models which are used in machine learning. In the regression model, the output variable, which has to be predicted, should be a continuous variable, such as predicting the weight of a person in a class.

The regression model also follows the supervised learning method, which means that to build the model, we’ll use past data with labels, which helps predict the output variable in the future.

Linear Regression

Using the linear regression model, we’ll predict the relationship between the two factors/ variables. The variable which we are expecting is called the dependent variable.

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