word
feature engineering
FEE-cher EN-jih-neer-ing
ˈfiːtʃər ˌɛndʒɪˈnɪərɪŋListen
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Syllable breakdown
featureengineering
Dictionary meaning
the process of using domain knowledge to select, transform, and create input variables from raw data that will improve the performance of machine learning models; includes encoding categorical variables, scaling continuous features, creating interaction terms, extracting time-series features, and constructing domain-specific aggregates; considered an art as much as a science and historically one of the most impactful steps in the machine learning pipeline before the rise of end-to-end deep learning
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