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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the main purpose of data transformation?
💡 Hint: Think about what happens to raw data to make it usable.
Question 2
Easy
What does normalization in data processing involve?
💡 Hint: Consider the range of values and how they relate to each other.
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 data transformation primarily concerned with?
- Cleaning data only
- Transforming data for analysis
- Storing data
💡 Hint: Consider what it means for data to be ready for use in machine learning.
Question 2
True or False: Normalization makes data values comparable.
- True
- False
💡 Hint: Think about how data can vary significantly without normalization.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You have survey data with categorical responses (Yes, No, Maybe). Propose a method for encoding these responses for a machine learning classification task.
💡 Hint: How do you think binary response systems work in machine learning?
Question 2
If you are provided with product reviews in text format, describe a method to transform this data into a structured format for sentiment analysis.
💡 Hint: Consider how text data might be expressed in numerical terms.
Challenge and get performance evaluation