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Data Science Plumbing: Automating Workflows with Pipelines [Video]

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Data Science Plumbing: Automating Workflows with Pipelines

Automating data science workflows with pipelines is important for creating data-driven products that scale. There is, of course, a learning curve to using these pipelines. During this session Aamodini Gupta and Scott Adams, PhD , Senior Data Scientist and Assistant Director of Analytics within Northwestern Mutual’s Core Data & Analytics Department, will provide an overview of the importance of pipelining data science workflows and walk through pipeline examples using scikit-learn, a popular Python library with various data science tools. Attendees will come away from this talk with a better understanding of data science workflows, as well as knowledge on how to extract relevant information from scikit-learn pipelines