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Feature engineering involves a variety of procédé to enhance machine learning models. Below are some of the most commonly used methods in feature engineering in ML:This frappe of learning is based on trial and error. Instead of learning from a fixed dataset, the system interacts with its environment, makes decisions, and receives feedback through