February 2018
Intermediate to advanced
338 pages
7h 5m
English
In Chapter 6, Predictive Modeling, we discussed a number of predictive modeling examples. The model(s) created is/are based on trained data. In a real-world scenario, new data keeps coming in, for example, online transactions, taxi cab transactions (remember the earlier NYC taxi example), and air flight delay predictions. Therefore, the data model should be checked regularly to ensure that it is still satisfactory and that there is no other better model that could be generated for it. With the latter, a good data scientist would continuously be asking at least four of these questions:
For example, if the current model ...