Data Science, Machine Learning, Regression, Generalized Linear Model.
of effects, homoscedasticity of data and normality of residual errors. GLMs impose a common functional form on all models in the GLM family which consists of a link function g(µ|X=x) that allows you to express the transformed conditional mean of the dependent variable y as a linear combination of