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Feature engineering: classification

In the previous video, you learned the importance of feature handling as a step in the machine learning lifecycle. Feature handling usually occurs after EDA and data cleaning but prior to modeling. In this exercise, you will showcase your understanding by classifying various items based on their usage for either feature engineering or feature selection, as explained in the video. Items in this context can be libraries, techniques, or functions.

This exercise is part of the course

End-to-End Machine Learning

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