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	<title>Zayd Simjee &#8211; Noise</title>
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		<title>Preparing data for ML models using AWS Glue DataBrew in a Jupyter notebook</title>
		<link>https://noise.getoto.net/2020/12/04/preparing-data-for-ml-models-using-aws-glue-databrew-in-a-jupyter-notebook/</link>
		
		<dc:creator><![CDATA[Zayd Simjee]]></dc:creator>
		<pubDate>Thu, 03 Dec 2020 22:51:50 +0000</pubDate>
				<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[AWS Glue]]></category>
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					<description><![CDATA[AWS Glue DataBrew is a new visual data preparation tool that makes it easy for data analysts and data scientists to clean and normalize data to prepare it for analytics and machine learning (ML). In this post, we examine a sample ML use case and show how to use DataBrew and a Jupyter notebook to [&#8230;]]]></description>
		
		
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