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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 how it differs from supervised learning.
Question 2
Easy
Name one algorithm used in unsupervised learning.
💡 Hint: Consider types of algorithms that group data.
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 is the main goal of unsupervised learning?
- To classify data
- To find hidden patterns
- To reduce data noise
💡 Hint: Think about what the algorithm is trying to achieve without labels.
Question 2
True or False: K-Means clustering requires labeled data.
- True
- False
💡 Hint: Remember the definition of unsupervised learning.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a dataset of customer purchasing behavior without any labels, devise an approach using unsupervised learning to segment them into distinct marketing groups.
💡 Hint: Consider strategies for choosing the right number of clusters and how to interpret the results.
Question 2
Imagine you have a large dataset of images where you want to reduce the number of features while retaining as much meaningful information as possible. Describe how you would use PCA in this scenario.
💡 Hint: Think about how dimensionality reduction affects data processing.
Challenge and get performance evaluation