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In your own words, explain the difference between supervised and unsupervised learning. Give one example of each from real-world data mining tasks.

Cross-validation helps to:

Which metric is most appropriate for imbalanced binary classification tasks?

Which is not a reason to apply dimension reduction?

The ROC curve plots:

Which Python library is primarily used for data visualization?

Explain how the support and confidence metrics are used in association rule mining. Why might a rule with high confidence still be misleading?

Decision trees can handle:

Which is a major challenge in unsupervised outlier detection?

Dr. Cooper has provided all necessary course materials for us through Blackboard. We can use the online textbook through Pearson for additional support.