From the course: Problem Identification and Solution Design for Data Scientists
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Documentation advice
From the course: Problem Identification and Solution Design for Data Scientists
Documentation advice
- [Instructor] Okay, now it's time to write this all up. Please give yourself sufficient time for this. It's a lot of work. As promised earlier when we were discussing the four CRISP DM tasks for business understanding, CRISP DM actually gives us an outline to use as a starting point for our phase final report. This is such a wonderful headstart. I urge you to take advantage of this. I'll draw upon the brief descriptions, but please do refer to the full document, and when you do, make sure that the output section is in the last section of the document. Some earlier versions of CRISP DM are missing that section. The background section provides a basic overview of the project context. This lists what area the project is working in, what problems have been identified, and why data mining or predictive analytics appears to provide a solution. Next is the inventory of resources. The inventory of resources section aims to identify personnel, data sources, technical facilities, and other…
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