Data Science and Machine Learning Glossary

Benford’s Law, also called the first digit law, states that the leading digits of numbers in datasets that span large orders of magnitude are distributed in a non-uniform way.

A binary variable is a categorical variable that can only take one of two values, usually represented as a Boolean — True or False — or an integer variable — 0 or 1

A measurement used to build Decision Trees to determine how the features of a dataset should split nodes to form the tree.

An Eigenspace is a basic concept in linear algebra, and is commonly found in data science and in engineering and science in general.