Feature Engineering

Feature engineering is the process of selecting and transforming raw data into a format that makes it easier for machine learning models to understand and make predictions. Think of it as preparing ingredients for a recipe: just as you might chop, marinate, or season food to enhance its flavor, feature engineering involves creating new variables or modifying existing ones to highlight important patterns in the data. This can improve the model's performance significantly, helping it to learn more effectively from the information provided. Essentially, it's about making data more useful for analysis.