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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>Machine Learning Pipeline - Glosarix</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="KJ7MUTxCpz"&gt;&lt;a href="https://glosarix.com/en/glossary/machine-learning-pipeline-en/"&gt;Machine Learning Pipeline&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://glosarix.com/en/glossary/machine-learning-pipeline-en/embed/#?secret=KJ7MUTxCpz" width="600" height="338" title="&#x201C;Machine Learning Pipeline&#x201D; &#x2014; Glosarix" data-secret="KJ7MUTxCpz" 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: A machine learning pipeline is a series of data processing steps that transform raw data into a machine learning model. This process includes several stages, such as data collection, cleaning, transformation, feature selection, model training, and evaluation. Each of these stages is crucial to ensure that the final model is accurate and useful. Pipelines [&hellip;]</description></oembed>
