2.3.4 - One-Hot Encoding
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Practice Questions
Test your understanding with targeted questions
What is one-hot encoding?
💡 Hint: Think about how each category would be represented.
Why is one-hot encoding preferred over label encoding for nominal variables?
💡 Hint: Consider the meaning of categories.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does one-hot encoding do?
💡 Hint: Remember how it structures the data.
One-hot encoding is best used for which type of categorical variable?
💡 Hint: Think about the nature of the categories.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Consider a dataset with a 'City' feature that has 50 unique city names. Discuss how you would encode this feature for a regression model.
💡 Hint: Think about dimensionality reduction strategies.
A dataset includes a variable 'Vehicle Type' with values: Car, Truck, SUV, and Motorcycle. How would you evaluate the impact of one-hot encoding on a prediction model’s performance?
💡 Hint: Consider what evaluation metrics would best reflect performance.
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