From Deployment to Feedback >> Data Science Methodology
1.Select the correct statement about the Feedback stage of the data science methodology.
1 point
1.Feedback is not required once the model is deployed because the Model Evaluation stage would have assessed the model and made sure that it performed well.
1 point
2.A data scientist determines that building a recommender system is the solution for a particular business problem at hand. This is represented by the Modeling stage of the data science methodology?
1 point
3.A car company asked a data scientist to determine what type of customers are more likely to purchase their vehicles. However, the data comes from several sources and is in a relatively “raw format”. What kind of processing can the data scientist perform on the data to prepare it for the Modeling stage?
A. Feature Engineering.
B. Transforming the data into more useful variables.
C. Combining the data from the various sources.
D. Addressing missing invalid values.
1 point
4.Which of the following represent the two important characteristics of the data science methodology?
1 point
5.For predictive models, a test set, which is similar to – but independent of – the training set, is used to determine how well the model predicts outcomes. This is an example of what step in the methodology?
1 point
6.What are three important reasons that data scientists should maintain continuous communication with business sponsors throughout a project?
1 point
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