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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is Naive Bayes primarily used for?
💡 Hint: Think about where you would categorize emails.
Question 2
Easy
What does SVM stand for?
💡 Hint: It is concerned with separating classes in a dataset.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the main advantage of Naive Bayes?
- A: It handles high-dimensional data
- B: It provides the best accuracy
- C: It's easy to implement and requires less computation
💡 Hint: Consider its efficient computation with multiple features.
Question 2
True or False: Decision Trees can handle imbalanced datasets naturally.
- True
- False
💡 Hint: Think about how classes are represented in the hierarchy of trees.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Create a comparative analysis of using Naive Bayes versus SVM for text classification on social media data.
💡 Hint: Consider dataset properties and feature correlations.
Question 2
Illustrate how you can handle an imbalanced dataset when using Decision Trees in NLP tasks.
💡 Hint: Think about the distribution of your classes.
Challenge and get performance evaluation