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Data Standardization Quiz

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1. What does data standardization imply in the context of machine learning?

2. Which method of data standardization adjusts values based on the minimum and maximum value in the dataset?

3. In the Z-Score normalization method, what do the transformed values represent?

4. What is the primary purpose of data standardization in machine learning models?

5. Which of the following is NOT a benefit of data standardization?

6. When applying Min-Max Scaling, which of the following ranges is NOT commonly used to rescale the features?

7. What potential drawback should be considered when using Z-Score normalization?

8. Which of the following scenarios is an ideal application for data standardization?

9. When implementing feature scaling through normalization, which attribute of the data is purposely altered?

10. Which data preprocessing technique is specifically designed to transform features to have zero mean and unit variance?