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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 the model learns without guidance.
Question 2
Easy
Give an example of clustering.
💡 Hint: Consider how companies analyze consumer behavior.
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 objective of unsupervised learning?
- To predict outputs based on labels
- To discover hidden patterns in data
- To eliminate irrelevant data
💡 Hint: Think about how the model learns without being told what to find.
Question 2
True or False: Clustering is a supervised learning technique.
- True
- False
💡 Hint: Remember the definitions of supervised vs unsupervised learning.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Explore how you could use unsupervised learning techniques to identify fraudulent transactions in a banking dataset that contains transaction details without fraud labels.
💡 Hint: Think about inherent similarities in transaction behaviors.
Question 2
Given a dataset with hundreds of features, detail a strategy using PCA to visualize the data in two dimensions.
💡 Hint: What steps do you take to ensure each feature contributes equally?
Challenge and get performance evaluation