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.
Read moreWhich algorithm is best for feature extraction?
PCA is the optimal procedure for feature selection.
Read moreWhat is feature extraction in Python?
The sklearn. feature_extraction module can be used to extract features in a format supported by machine learning algorithms from datasets consisting of formats such as text and image .
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