Question: Explain the term 'feature engineering' in the context of machine learning.

Answer: Feature engineering involves selecting, transforming, or creating new features from the raw data to improve the performance of machine learning models. It aims to highlight relevant information and reduce noise.

Example:

Creating a new feature 'days_since_last_purchase' for a customer churn prediction model.