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. https://blogs.opentext.com/feature-engineering-in-machine-learning-part-2/
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SHARESHARESHARE
FEATURE ENGINEERING IN MACHINE LEARNING
Feature engineering is the process of extracting new variables by transforming raw data to improve the predictability of a machine learning model.  But feature engineering is not just this kind of simple translation of categories like names or colors into numbers. The following section includes a collection of different kinds of engineering approaches that go beyond a translation of categories into numbers and address needs such as transforming numbers into categories or filtering data points due to missing or false data. READ MORE