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Feature engineering is the process of using domain knowledge of the data to create features for machine learning models. This tag is meant for both theoretical and practical questions regarding feature engineering, excluding questions asking for code, that would be off-topic on CrossValidated.

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I have a time series, and i am using overlapping sliding window to extract features from each window and label it accordingly. In this Overlapping window of size n, i want to extract trend (linear fit …
asked Feb 4 by JAbr