Regression, Machine Learning, Artificial Intelligence, Linear Regression, Python.
finding the values of the coefficients that maximize the likelihood of the observed data, given the model. The likelihood function is a measure of how likely the observed data are, given the values of the coefficients. The likelihood function for a GLM is: L(β) = ∏ᵢ f(yᵢ; θᵢ, β)ᵈⁱ where β is the