What is feature extraction methods?

Feature extraction refers to the process of transforming raw data into numerical features that can be processed while preserving the information in the original data set . It yields better results than applying machine learning directly to the raw data.

Sizin İçin Seçtik  How do you extract a feature from a dataset?

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