Automating Feature Engineering

Feature Engineering is the task of transforming the feature space in a given learning problem to improve the performance of a trained model. It is a crucial but time intensive and skillful process, involving a data scientist or a domain expert. It is often the key determinant of the time and cost required to build an effective learner. In this paper, we discuss our system for performing feature engineering in an automated manner using a combination of exploratory and learning techniques. We also mention our larger charter of an automated data science pipeline.

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