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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a missing value?
💡 Hint: Think about what happens when data is not recorded.
Question 2
Easy
What is row-wise deletion?
💡 Hint: Consider how it's different from deleting columns.
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 are the two main strategies for handling missing values?
- Deletion and Imputation
- Filtering and Aggregation
- Regression and Classification
💡 Hint: Think about how we manage incomplete data.
Question 2
True or False: Mean imputation can distort relationships in data.
- True
- False
💡 Hint: Consider the impact of using the average on diverse datasets.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
A dataset has 25% missing values in a crucial numeric column. Discuss whether you would choose deletion or imputation and justify your answer.
💡 Hint: Think about how critical the data is for your analysis.
Question 2
After conducting K-NN imputation, you observe that the variance of the column has significantly decreased. What might be the reason, and how could this affect your analysis?
💡 Hint: Consider how K-NN works in relation to input data points.
Challenge and get performance evaluation