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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is clustering?
💡 Hint: Think about how you would group books in a library.
Question 2
Easy
Name one application of dimensionality reduction.
💡 Hint: Consider what happens when you reduce the number of dimensions.
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 purpose of clustering?
- To simplify data
- To group similar data points
- To analyze time-series data
💡 Hint: Consider its role in data analysis.
Question 2
Is dimensionality reduction useful for visualizations?
- True
- False
💡 Hint: Think about how you observe complex data.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a clustering algorithm for a fictional e-commerce website looking to enhance user experience. What features would you prioritize, and how would you interpret the clusters formed?
💡 Hint: Consider the user journey on the platform.
Question 2
You are given a high-dimensional dataset in bioinformatics. Discuss how you would approach dimensionality reduction and why it is essential before clustering.
💡 Hint: Reflect on the computational challenges of high-dimensional data.
Challenge and get performance evaluation