Organising Data Science projects using CRISP-DM

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Data Science projects are unlike typical software engineering projects. They have a different stages and also, in many cases, not linearly defined. In this video, I take you through one framework that will help organize your thinking about approaching Data Science projects and provide you guidelines on the different stages in the life-cycle of a Data Science project. If you enjoyed the video, then please don't forget to like, comment and share the video. And yes, please do subscribe to the channel for more such videos!
  1. Imaad Mohamed Khan
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One thing I think can be added is a component for 'Integration'. Having an understanding of how the deployed model will actually be integrated (with a front-end or a back-end), may have an impact on the entire life cycle of the data science project.

isonee