31. What is the term for the process of removing or reducing noise and inconsistencies from data?
32. Which of the following best describes the purpose of data sampling in Data Science?
33. Which statistical measure represents the spread or dispersion of data values in a dataset?
34. In Data Science, what is the term for a data point that is missing a value for one or more features?
35. What is the primary objective of data exploration in Data Science?
36. Which type of data is represented by categories or labels and cannot be measured numerically?
37. In Data Science, what is the purpose of data wrangling?
38. What is the process of splitting a dataset into a training set and a test set used for machine learning called?
39. Which of the following is a common algorithm used for classification in supervised learning?
40. What does the acronym "SQL" stand for in the context of Data Science?
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