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12. Can MSE be a negative value? Give reasons. 2
13. What is the importance of a narrative in a story? 2
14. Imagine that you want to create your first app. Create a list of questions you would develop to decompose
this task. 2
15. Differentiate between training set and test set. 2
16. “Once the relevant projects have been selected and properly scoped, the next step of the machine learning lifecycle is the
Design or Build phase.” Briefly explain this phase. 2
Answer any 3 out of the given 5 questions in 50–80 words each. (4 × 3 = 12 marks)
17. Explain how data storytelling can bring about change using a diagram. 4
18. Consider the following data
x y
44 47
46 48
48 55
50 58
52 49
Regression Equation: 0.7x + 17.8
Calculate the RMSE(Root means Square Error) for the above data.
19. List the considerations which data scientists have to keep in mind during the testing stage. 4
20. Explain the Cross Validation Procedure? In which situation is it better than a Train Test Split?
21. (a) List the steps of creating an effective data story.
(b) Which of the following is a better data story? Give reasons.
Option A:
(Source: https://www.crazyegg.com/blog/data-storytelling-5-steps-charts/)
Option B:
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242 Touchpad Artificial Intelligence (Ver. 2.0) X II

