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Larry O'Brien
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Fix import
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articles/machine-learning/how-to-create-your-first-pipeline.md

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@@ -95,7 +95,7 @@ You just created a data source that can be referenced in a pipeline as an input
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You create a `Dataset` using methods like [from_file](https://docs.microsoft.com/python/api/azureml-core/azureml.data.dataset_factory.filedatasetfactory?view=azure-ml-py#from-files-path--validate-true-) or [from_delimited_files](https://docs.microsoft.com/python/api/azureml-core/azureml.data.dataset_factory.tabulardatasetfactory?view=azure-ml-py#from-delimited-files-path--validate-true--include-path-false--infer-column-types-true--set-column-types-none--separator------header-true--partition-format-none--support-multi-line-false-).
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```python
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from azureml.data import TabularDataset
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from azureml.core import Dataset
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iris_tabular_dataset = Dataset.Tabular.from_delimited_files([(def_blob_store, 'train-dataset/tabular/iris.csv')])
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```

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