+**Feature Engineering** is the art of transforming raw data into meaningful inputs for [Machine Learning](/wiki/machine_learning) models. This crucial process reshapes data, extracting or creating features that allow algorithms to better perceive underlying patterns and improve [Predictive Model](/wiki/predictive_model) performance. It makes the invisible visible, empowering models to learn more effectively.
+## See also
+- [Data Preprocessing](/wiki/data_preprocessing)
+- [Model Performance](/wiki/model_performance)
+- [Data Science](/wiki/data_science)
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