7.1 - What Are Ensemble Methods?
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Practice Questions
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What do ensemble methods aim to do?
💡 Hint: Think about enhancing the overall performance.
Name one technique under ensemble methods.
💡 Hint: Recall we discussed three primary techniques.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the main goal of ensemble methods?
💡 Hint: Consider their impact on prediction performance.
Boosting is a sequential ensemble technique. True or False?
💡 Hint: Focus on the order of training models.
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Challenge Problems
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In a dataset with high variance, which ensemble method would you recommend and justify your choice?
💡 Hint: Focus on the relationship between variance and model performance.
Compare and contrast Boosting and Bagging, discussing strength and weaknesses of each in a real-world scenario.
💡 Hint: Contrasting their approaches offers insights into choice application.
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