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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is feature scaling?
💡 Hint: Think about adjusting the values of input features.
Question 2
Easy
What is normalization?
💡 Hint: It involves adjusting the values to a certain range.
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 main purpose of feature scaling?
- To clean data
- To ensure all features contribute equally
- To split datasets
💡 Hint: Consider what happens when features have different scales.
Question 2
True or False: Normalization adjusts values to have a mean of 0.
- True
- False
💡 Hint: Remember what normalization specifically aims for.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
A dataset contains ages ranging from 18 to 80 and income ranging from 20000 to 120000. Apply normalization and standardization using Python.
💡 Hint: Don’t forget to fit scalers on the training set before transforming.
Question 2
Discuss a scenario where normalization might skew results, and why standardization would be a better choice.
💡 Hint: Consider how extreme values influence scaling results.
Challenge and get performance evaluation