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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the primary purpose of Support Vector Machines?
π‘ Hint: Think about how SVMs distinguish between two classes.
Question 2
Easy
Define 'hyperplane' in the context of SVMs.
π‘ Hint: Consider the dimensions of the data.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the main advantage of using Support Vector Machines?
π‘ Hint: Consider the dimensions and complexity of the data.
Question 2
True or False: Decision Trees are immune to overfitting.
π‘ Hint: Think about their structure and complexity.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Given a dataset where points are not linearly separable, how would you implement an SVM? Explain how you would choose the kernel and hyperparameters.
π‘ Hint: Consider non-linear relationships and how SVM adapts to them.
Question 2
You are tasked with diagnosing a medical condition using a Decision Tree model. How would you ensure your model avoids overfitting?
π‘ Hint: Think about how deep trees can memorize data.
Challenge and get performance evaluation