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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the goal of normalization in data processing?
💡 Hint: Think about how this affects feature scales.
Question 2
Easy
What does standardization do to a dataset?
💡 Hint: Recall the transformations that happen during standardization.
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 normalization?
- To achieve a mean of zero
- To rescale values to a certain range
- To reduce data dimensionality
💡 Hint: Think about the range and scaling.
Question 2
Standardization transforms data to have a mean of zero and a standard deviation of 1.
- True
- False
💡 Hint: Recall the definition of standardization.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Consider the dataset: [10, 20, 30, 40, 50]. Normalize it using Min-Max scaling. What are the results?
💡 Hint: Use the formula: (value - min) / (max - min).
Question 2
Given the dataset with mean 200 and standard deviation 50, standardize the value 300. Explain the significance of standardizing this value.
💡 Hint: What does the resulting z-score signify in terms of data distribution?
Challenge and get performance evaluation