Feature Engineering

The process of creating new input variables (features) from your existing raw data to improve a model's performance. It involves transforming or combining data in ways that help the model better understand underlying patterns. Think of it like a chef preparing ingredients – slicing, dicing, and combining them – to make them more flavorful and suitable for the final dish.