5.5.2 - CatBoost
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Practice Questions
Test your understanding with targeted questions
What type of data does CatBoost optimize for?
💡 Hint: Think about data that falls into specific categories.
Does CatBoost require one-hot encoding for categorical features?
💡 Hint: Consider how data processing can be simplified.
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Interactive Quizzes
Quick quizzes to reinforce your learning
Which of the following is a primary advantage of CatBoost?
💡 Hint: Think about how CatBoost approaches data differently.
True or False: CatBoost is less effective with categorical data.
💡 Hint: Consider the purpose of CatBoost.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Given a dataset containing customer preferences with numerous categorical features, outline how you would implement CatBoost for predicting customer churn.
💡 Hint: Focus on the initial data preparation and the model’s steps, emphasizing CatBoost's unique capabilities.
Discuss the implications of using a more complex model, such as CatBoost, on a small dataset. What risks could arise?
💡 Hint: Consider the balance between model complexity and data representation.
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