Which kind of algorithm works best (supervised, unsupervised, classification ... linear regression and logistic regression to deep neural networks and ensembles (combinations of other models).

Some examples of generalized linear models follow. Explanatory variables can be any combination of continuous variables, classification variables, and interactions.

Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the response and ...