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articles/machine-learning/tutorial-explore-data.md

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A machine learning project typically starts with exploratory data analysis (EDA), data-preprocessing (cleaning, feature engineering), and building Machine Learning model prototypes to validate hypotheses. This _prototyping_ project phase is highly interactive. It lends itself to development in an IDE or a Jupyter notebook, with a _Python interactive console_. This tutorial describes these ideas.
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This video shows how to get started in Azure Machine Learning studio, so that you can follow the steps in the tutorial. The video shows how to create a notebook, clone the notebook, create a compute instance, and download the data needed for the tutorial. The steps are also described in the following sections.
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> [!VIDEO https://learn-video.azurefd.net/vod/player?id=514a29e2-0ae7-4a5d-a537-8f10681f5545]
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## Prerequisites
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1. [!INCLUDE [workspace](includes/prereq-workspace.md)]

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