Feature engineering is the process of taking raw data and transforming it into features that can be used in machine learning models. This can involve a variety of different techniques, but the goal is always to create features that are useful for predictive modeling. This can be a difficult process, as it requires a good understanding of both the data and the machine learning algorithms that will be used.
