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 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 .
Read moreWhich algorithm is best for feature extraction?
PCA is the optimal procedure for feature selection.
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