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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is unsupervised learning?
💡 Hint: Think about learning without any guidance or answers.
Question 2
Easy
Give an example of a clustering algorithm.
💡 Hint: What methods group similar points together?
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does unsupervised learning focus on?
- Labeled data
- Finding patterns
- Classification
💡 Hint: Think about what you can discover without guidance.
Question 2
True or False: DBSCAN requires you to pre-define the number of clusters.
- True
- False
💡 Hint: Reflect on its ability to detect dense regions.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
If you have a dataset with varying densities across clusters, how might you select the appropriate clustering algorithm?
💡 Hint: Reflect on the sensitivity of algorithms to density.
Question 2
You use PCA on a dataset, but the results are hard to interpret. What could you do to improve interpretation?
💡 Hint: Think about visualization techniques that help make complex data understandable.
Challenge and get performance evaluation