When providing feedback on Discussion Board assignments, it is important for me to come from a place of collaboration and support. I should make sure my comments are helpful and provide feedback in a meaningful way.

Describe a scenario where PCA might not be a good choice for dimension reduction. What limitation of PCA does your example highlight?

Which metric helps determine how well a data point fits its cluster?

Which assumption does K-Means clustering make?

What does “support” mean in association rule mining?

The Apriori algorithm is based on which key property?

Which of the following clustering methods does not require specifying the number of clusters in advance?

What does df.describe() in pandas provide?

Which of the following 3-itemsets would be invalid under Apriori, given that {M, E}, {E, P}, and {M, P} are frequent 2-itemsets?

What is the role of one-hot encoding in data preprocessing? Why might label encoding be problematic for some models?