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<oembed><version>1.0</version><provider_name>Glosarix</provider_name><provider_url>https://glosarix.com/en/</provider_url><author_name>Team Glosarix</author_name><author_url>https://glosarix.com/en/author/adm_glosarix/</author_url><title>Feature Engineering Pipeline - Glosarix</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="O03hB3oXGt"&gt;&lt;a href="https://glosarix.com/en/glossary/feature-engineering-pipeline-en/"&gt;Feature Engineering Pipeline&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://glosarix.com/en/glossary/feature-engineering-pipeline-en/embed/#?secret=O03hB3oXGt" width="600" height="338" title="&#x201C;Feature Engineering Pipeline&#x201D; &#x2014; Glosarix" data-secret="O03hB3oXGt" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><description>Description: The Feature Engineering Pipeline is a structured set of processes that transforms raw data into suitable features for modeling in the field of machine learning. This pipeline includes various stages, such as data collection, cleaning, transformation, and feature selection. Each step is crucial to ensure that the data is of high quality and relevant [&hellip;]</description></oembed>
