From the course: Data Science Foundations: Data Mining in Python
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The CRISP-DM data mining model - Python Tutorial
From the course: Data Science Foundations: Data Mining in Python
The CRISP-DM data mining model
- [Instructor] I know this course focuses substantially on how to program analyses to mine data, but it also is important to think about the context in which that programming takes place, that is, the project as a whole. And when it comes to data mining, there is in fact a well-established framework for projects. It's called CRISP-DM, and that stands for cross-industry standard process for data mining. And it describes six phases to data mining, and I'll give you a quick overview of each of these. The first phase is business understanding. This is where you do things like determine the business objectives, the thing you're trying to accomplish, the situation assessment, determine data mining goals, and produce the project plan. The second phase is data understanding. This is where you collect the initial data, you describe the data, explore the data, verify the data quality. The third phase is data preparation.…
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