Machine Learning Data Preprocessing Questions and Answers

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Created this 8 months ago

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1. What is the purpose of data preprocessing?

2. Name some common data preprocessing techniques.

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3. Why is data cleaning important in preprocessing?

4. What is the difference between feature scaling and feature normalization?

5. When is dimensionality reduction used in preprocessing?

6. What are the benefits of outlier removal?

7. How do you handle missing values in data preprocessing?

8. What is the impact of data preprocessing on machine learning model performance?

9. How do you evaluate the effectiveness of data preprocessing?

10. What are best practices for data preprocessing?

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