Say whether the following is an example of a supervised or unsupervised learning problem:

Based on email features (such as sender, topic, frequency of certain words, etc.), predict whether an email is spam or not.

How would you describe your time management until now in the module?

How would you describe your experience of the practical (R) work in Week 2?

In which R package can the data set mtcars be found?

In a typical data matrix representation, rows represent observations and columns represent variables.

In Tutorial 2 Question 2.7, how many irises were selected? (That is, how many irises are there in the data set with a sepal length greater than 5?)

What does the "S" in CRISP-DM stand for?

Which of the following best explains the difference between a population and a sample?