Classification and regression tree (CART) methods are a class of data mining techniques which constitute an alternative approach to classical regression. CART methods are frequently used in ...

Logistic regression. Classification algorithms can find solutions to supervised learning problems that ask for a choice (or determination of probability) between two or more classes.

We will cover Regression, Classification, Trees, Resampling, Unsupervised techniques, and much more! In this course, you will learn how to: Express why Statistical Learning is important and how it can ...

The Data Science Lab. Neural Regression Classification Using PyTorch: Preparing Data. Dr. James McCaffrey of Microsoft Research presents the first in a series of four machine learning articles that ...

Michael Vogt, Oliver Linton, Classification of non-parametric regression functions in longitudinal data models, Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 79, ...