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Merge pull request #245368 from sdgilley/sdg-feedback
remove duplicate sentence
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articles/machine-learning/tutorial-pipeline-python-sdk.md

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If you have been following along with the other tutorials in this series and already registered the data, you can fetch the same dataset from the workspace using `credit_dataset = ml_client.data.get("<DATA ASSET NAME>", version='<VERSION>')`. Then you may skip this section. To learn about data more in depth or if you would rather complete the data tutorial first, see [Upload, access and explore your data in Azure Machine Learning](tutorial-explore-data.md).
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* Azure Machine Learning uses a `Data` object to register a reusable definition of data, and consume data within a pipeline. In the next section, you consume some data from web url as one example. Data from other sources can be created as well. `Data` assets from other sources can be created as well.
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* Azure Machine Learning uses a `Data` object to register a reusable definition of data, and consume data within a pipeline. In the next section, you consume some data from web url as one example. `Data` assets from other sources can be created as well.
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