Practice - Week 6: Support Vector Machines (SVM) & Decision Trees
Practice Questions
Test your understanding with targeted questions
What is the main purpose of Support Vector Machines?
💡 Hint: Think about classification tasks and decision boundaries.
Name a measure of impurity used in Decision Trees.
💡 Hint: These measures help evaluate how mixed the classes are.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is a hyperplane in the context of SVMs?
💡 Hint: Think about how classes are divided.
True or False: Soft margin SVM allows for some misclassifications during classification.
💡 Hint: Consider the rigidity of hard margin SVM.
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Challenge Problems
Push your limits with advanced challenges
Design a classification problem using both SVM and Decision Tree. Which one would you prefer for this scenario and why?
💡 Hint: Think about the context of the application and audience.
Given a dataset with some noise and overlapping classes, describe how you would tune your SVM model’s parameters. Explain what to adjust and why.
💡 Hint: Contemplate the nature of the dataset's distribution.
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Reference links
Supplementary resources to enhance your learning experience.