Question 1

1 pts

Which of the following is the best example of a regression problem?

Predicting how much a customer will spend at an online retailer in the next year based on their past purchase history.

Question 2

1 pts

Which of the following is the best example of a classification problem?

Predicting how much a customer will spend on alcohol in the next three weeks based on their credit card transaction history.

Question 3

4 pts

Consider the following regular expression meta operators:

( ) [ ] { } . * + ? ^ $ | \

For each of the following, give a couple of examples of strings which the regular expression would match. Describe (colloquially, in a manner that a non-technical person would understand) the set of strings that the pattern is designed to match. Each regular expression is enclosed in the pair of '/' characters below. [2 marks each]

(a) /^[A-Za-z][a-z]*$/

(b) /\s(\w+)\s\1/

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Question 4

4 pts

We have a multidimensional dataset with 4 numerical attributes and are required to thoroughly assess correlations among the attributes with visualisation. There are several visualisation techniques we can use to assess correlations.

(1) What aspects of correlation could we assess? [1 mark]

(2) From the visualisation techniques we introduced in this subject, which two are most suitable for assessing correlations in this dataset? [1 mark]

(3) Nominate a best choice of visualisation from the two most suitable ones and justify how you have come to the choice compared to the other option. [2 marks]

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