Unsupervised Learning Quiz

Quiz covering Types of Machine Learning

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

1. 1

   Which of the following best describes the primary goal of unsupervised learning?

2. 2

   A retail company wants to segment its customer base into distinct groups based on purchasing behavior to create targeted marketing campaigns. Which algorithm is most appropriate for this task?

3. 3

   You are working with a dataset that has 500 features and you are concerned about the 'curse of dimensionality' affecting your model performance. Which unsupervised technique should you use to reduce the feature space while retaining as much variance as possible?

4. 4

   An e-commerce platform wants to identify which items are frequently bought together to improve their 'Customers who bought this also bought...' feature. What is the most suitable technique?

5. 5

   When applying K-Means clustering, you notice that the algorithm consistently produces different cluster assignments each time it is run on the same dataset. What is the most likely reason for this, and how can you fix it?