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When developing data science projects, a lot of experimentation is required and revisions to previously completed work are likely to occur. This scenario makes a
When developing data science projects, a lot of experimentation is required and revisions to previously completed work are likely to occur. This scenario makes a fixed time schedule very difficult to achieve for data science projects. Thus, as a project manager, what are three ways to manage the problem of meeting the project deadline and providing the development team with enough time to experiment and make adjustments to their work?
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