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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is classification in machine learning?
💡 Hint: Think about how emails can be sorted.
Question 2
Easy
Name one advantage of using labeled data for training.
💡 Hint: Consider the outcome of labeled examples.
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 type of learning method is classification?
- Supervised
- Unsupervised
- Reinforcement
💡 Hint: Recall the type of learning that uses labels.
Question 2
True or False: KNN requires all data to be labeled.
- True
- False
💡 Hint: Think about how the model learns.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Create a classification model scenario for predicting future sales based on past data.
💡 Hint: Think about the factors that influence sales.
Question 2
Discuss how you would handle an imbalanced dataset in classification.
💡 Hint: Consider ways to balance the classes.
Challenge and get performance evaluation