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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is supervised learning?
💡 Hint: Think about models that learn from examples.
Question 2
Easy
Define bias in machine learning.
💡 Hint: It's related to underfitting.
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 supervised learning?
- To find patterns in unlabeled data
- To classify data into known categories
- To predict based on labeled data
💡 Hint: Focus on labeled data concepts.
Question 2
True or False: Unsupervised learning requires labeled data.
- True
- False
💡 Hint: Remember how data labeling influences the learning type.
Solve 3 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You have two models: Model A has low training error but high validation error, while Model B has a higher training error but low validation error. Identify which model is overfitting and which is generalizing well.
💡 Hint: Consider the definitions of overfitting vs. generalization.
Question 2
Given a dataset with a significant class imbalance, which evaluation metrics would you prioritize, and why?
💡 Hint: How do you measure success in minority classes?
Challenge and get performance evaluation