Meaning of Feature Engineering

Simple definition

Feature engineering is the process of creating, selecting, or transforming data attributes to improve the performance of machine learning models.

How to use Feature Engineering in a professional context

Data scientists and analysts use feature engineering to highlight key patterns or relationships in data, which helps models make better predictions in domains like finance, healthcare, and retail.

Concrete example of Feature Engineering

In a predictive model for house prices, a data scientist creates new features like “price per square foot” and “distance to city center” to improve accuracy.