7 - Conclusion
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Practice Questions
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What is supervised learning?
💡 Hint: Think about models that learn from examples.
Define bias in machine learning.
💡 Hint: It's related to underfitting.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the main goal of supervised learning?
💡 Hint: Focus on labeled data concepts.
True or False: Unsupervised learning requires labeled data.
💡 Hint: Remember how data labeling influences the learning type.
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Challenge Problems
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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.
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?
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