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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is normalization?
💡 Hint: Think of how values are limited to a specific range.
Question 2
Easy
What is the primary goal of standardization?
💡 Hint: Consider the shape of a normal distribution.
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 purpose of normalization in feature scaling?
- To reduce variance
- To bring all features to a common scale
- To eliminate missing values
💡 Hint: Think about how different features are represented numerically.
Question 2
True or False: Standardization rescales data based on the maximum feature value.
- True
- False
💡 Hint: Remember how data is centered in statistical terms.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You have a dataset with 'Height in cm' and 'Weight in kg'. How would you decide whether to normalize or standardize this data before using it in a machine learning model?
💡 Hint: Consider ranges and distributions of the features.
Question 2
Create a small dataset containing two features: Age and Salary. Demonstrate how to apply both normalization and standardization using code, explaining your steps.
💡 Hint: Ensure to use respective scaling libraries.
Challenge and get performance evaluation