Preprocessing: Difference between revisions

Created page with "{{see also|Machine learning terms}} ==Introduction== Preprocessing in machine learning refers to the initial stage of preparing raw data for use in machine learning algorithms. This critical step involves transforming and cleaning the data to enhance its quality, reduce noise, and ensure its compatibility with the chosen machine learning model. By performing preprocessing, data scientists and engineers aim to improve the efficiency and accuracy of machine learning al..."
(Created page with "{{see also|Machine learning terms}} ==Introduction== Preprocessing in machine learning refers to the initial stage of preparing raw data for use in machine learning algorithms. This critical step involves transforming and cleaning the data to enhance its quality, reduce noise, and ensure its compatibility with the chosen machine learning model. By performing preprocessing, data scientists and engineers aim to improve the efficiency and accuracy of machine learning al...")
 
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