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A data engineer is working on a machine learning project. The engineer is selecting and transforming variables from raw data to improve model performance. Which ML concept does this describe?
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Feature engineering is the process of selecting, transforming, and creating relevant features from raw data to improve model performance. It involves creating or selecting the most relevant variables that will help the ML model learn patterns effectively.
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