Data Science, Machine Learning, Regression, Generalized Linear Model.
Linear Regression models for real valued (and potentially negative valued) data sets. Analysis of Variance (ANOVA) models. Models for ratios of counts. For e.g. models which predict the odds of winning, probability of machine failure etc. Some examples of this class are the Logit model (used in