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โ† SetsData Science & Analytics โ€” Set 7
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Data Science & Analytics Practice Questions โ€” Set 7

10 free Data Science & Analytics reviewer questions with answers and explanations. Pindutin ang sagot mo para makita agad kung tama โ€” kasama na ang paliwanag. Set 7 of 8.

61

Which method transforms data to have zero mean and unit variance?

62

What is the primary purpose of one-hot encoding in data preprocessing?

63

Which technique best addresses outliers in a dataset?

64

What strategy best handles missing data when the missingness is not random?

65

What does data normalization primarily achieve?

66

Which approach handles high cardinality categorical variables most effectively?

67

What principle should guide the order of preprocessing steps in a machine learning pipeline?

68

Which framework is specifically designed for distributed processing of large datasets?

69

What is the primary advantage of Apache Spark over traditional MapReduce?

70

What does the term "data lake" refer to in big data architecture?