Learn the difference between regression and classification models for predictive analytics, the pros and cons of each, and some tips to select the best one for your data and goals.

This month we'll look at classification and regression trees (CART), a simple but powerful approach to prediction 3. Unlike logistic and linear regression, CART does not develop a prediction equation.

Age regression therapy is when you act younger than you actually are. Learn about the benefits, risks, and more today.

Learn what caudal regression syndrome is. Learn about how it happens, what its symptoms are, and how to treat it.

Investigation of popular classification techniques, such as LDA and QDA. We will also explore another Regression, Poisson Regression, as well as link functions, which connect all Regressions together.

Regression Apart from classification, regression can be rather important in audio analysis, e.g. in the context of speech emotion recognition, where the emotional state is not a discrete class but a ...

Overview Multivariate pattern analysis (MVPA) is an umbrella term that covers multivariate methods such classification, regression and related approaches such as Representational Similarity Analysis.

This article is an attempt to showcase the capability of Logistic Regression as a machine learning algorithm for image classification.

But a clear data classification policy should ensure compliance and optimise costs – and it can also help organisations make more effective use of their data. What is data classification used for?