Data Science, Machine Learning, Regression, Generalized Linear Model.
of y is expressible as a linear combination of regression variables. In , one expresses the transformed conditional expectation of the dependent variable y as a linear combination of the regression variables X. The link function g(.) can take many forms and we get a different regression model based