In this assignment, you will select one of the chapters (From the book- Modeling Techniques in Predictive Analytics- where each of the chapters represents a different business problem, dataset and R code to run a predictive model).
Apply the CRISP-DM framework (this is the same PDF found in Module 1) to address the data mining scenario and dataset in a Chapter of Modeling Techniques in Predictive Analytics.
- What is the business problem being addressed in this chapter?
- What types of data are available for modeling? Are there additional data elements you believe would be valuable to add to the modeling dataset?
- What approach did the author use to address the problem? In your opinion is this the best approach to this dataset? Were any essential steps skipped? Would you also recommend trying a different approach for contrast and if so, which one?
- How was the model evaluated? Deployed?
0 comments