Feature Engineering

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Feature Engineering

Feature Engineering involves the use of domain knowledge of data to develop features that enable the working of machine learning algorithms. Therefore, important features for model building are designed, using various variable selection techniques. Statistical concepts are used to identify variables which capture maximum effects.