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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is one-hot encoding?
💡 Hint: Think about how a class can be distinguished from others.
Question 2
Easy
How does one-hot encoding help in classification tasks?
💡 Hint: Consider how it affects output probabilities.
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 one-hot encoding?
- A method for converting categorical labels into binary vectors
- A type of neural network
- A loss function
💡 Hint: Think about the role of labels in categorization.
Question 2
True or False: One-hot encoding can create relationships between different categories.
- True
- False
💡 Hint: Reflect on the meaning of one-hot encoding.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You have a dataset with labels: ['Cat', 'Dog', 'Fish', 'Bird']. Represent these labels using one-hot encoding.
💡 Hint: Remember that each label would have its unique vector.
Question 2
Discuss the potential pitfalls of using label encoding instead of one-hot encoding in a multi-class classification problem.
💡 Hint: Consider how the model interprets numerical values.
Challenge and get performance evaluation