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2 cards from this section. Quick, good the night before a test.
What is the goal of normalization in data processing?
Think about how this affects feature scales.
What does standardization do to a dataset?
Recall the transformations that happen during standardization.
What is the main purpose of normalization?
Think about the range and scaling.
Standardization transforms data to have a mean of zero and a standard deviation of 1.
Recall the definition of standardization.
Consider the dataset: [10, 20, 30, 40, 50]. Normalize it using Min-Max scaling. What are the results?
Use the formula: (value - min) / (max - min).
Given the dataset with mean 200 and standard deviation 50, standardize the value 300. Explain the significance of standardizing this value.
What does the resulting z-score signify in terms of data distribution?
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