Features are living things. Every new insight, every new dataset, every new failure is a chance to revisit and improve. Feature engineering is not a one-off task. It’s an ongoing process of discovery, experimentation, and refinement. The best features often emerge after multiple iterations and failures. Don’t be afraid to revisit old ideas or throw out what doesn’t work... your model’s performance depends on it. [[ML]] [[Serendipity]]