Practice - Activities
Practice Questions
Test your understanding with targeted questions
What is the purpose of scaling data before using SVM?
💡 Hint: Think about how different ranges in features might influence distance.
What does the 'C' parameter control in SVM?
💡 Hint: Consider what happens when you set 'C' to a very high value.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the primary goal of Support Vector Machines?
💡 Hint: Think about the concept of distance and classification.
True or False: Decision Trees can easily handle both numerical and categorical data without preprocessing.
💡 Hint: Consider what type of data a decision tree can process directly.
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Challenge Problems
Push your limits with advanced challenges
Given a dataset with overlapping classes, explain how you would proceed with model selection and justify your choice based on the characteristics of Decision Trees and SVMs.
💡 Hint: Think about how each model reacts to noise in data.
Design a plan to handle overfitting in a Decision Tree model. What steps would include, and what parameters would you tune?
💡 Hint: Consider what 'pruning' means in the context of a tree.
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Reference links
Supplementary resources to enhance your learning experience.