Feature extraction is a crucial technique in data analysis and machine learning that involves transforming raw data into a reduced set of relevant features or attributes while retaining essential information. This process enhances the efficiency and effectiveness of data analysis and model training by simplifying complex data while maintaining its meaningful characteristics.
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What is feature extraction
Feature extraction is the process of selecting or transforming relevant information (features) from raw data. It aims to reduce the dimensionality of the data while preserving the most important characteristics for analysis or machine learning tasks.