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What is meant by feature engineering?

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The procedure for selecting, creating, and transforming features  in a dataset to improve the performance of machine learning models is known as "feature engineering." The purpose of feature engineering is to take the relevant information from the raw data and transform it into a format that the algorithm can better understand and learn from.

If you are interested in learning more about feature engineering in machine learning then check out this below video offered by Intellipaat -

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