One hot encoding is a technique used in machine learning and data processing to represent categorical variables as binary vectors. It is particularly useful when working with algorithms that cannot handle categorical data directly, such as plain and simple estimators. In this answer, we will explore the concept of one hot encoding, its purpose, and