The process of changing original data into features that better describe the underlying problem to predictive models, resulting in enhanced model accuracy on unseen data, is known as feature engineering. In layman's terms, feature engineering refers to the creation of additional features that may aid in the better understanding and modelling of an issue. There are two types of feature engineering: business-driven and data-driven. The incorporation of features from a commercial standpoint is the focus of business-driven feature engineering.