Data Science and Machine Learning (Theory and Projects) A to Z - Feature Selection: Wrapper Methods

The video tutorial discusses feature selection methods, focusing on wrapper methods. It explains how wrapper methods use a machine learning model to guide feature selection, contrasting them with filter methods. The tutorial details the process of training and validating models using wrapper methods, highlighting their accuracy but also their time-consuming nature. It concludes by introducing embedded methods as a more efficient alternative, promising to cover them in the next video.

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