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3 cards from this section. Quick, good the night before a test.
What is the main purpose of data transformation?
Think about what happens to raw data to make it usable.
What does normalization in data processing involve?
Consider the range of values and how they relate to each other.
What is data transformation primarily concerned with?
Consider what it means for data to be ready for use in machine learning.
True or False: Normalization makes data values comparable.
Think about how data can vary significantly without normalization.
You have survey data with categorical responses (Yes, No, Maybe). Propose a method for encoding these responses for a machine learning classification task.
How do you think binary response systems work in machine learning?
If you are provided with product reviews in text format, describe a method to transform this data into a structured format for sentiment analysis.
Consider how text data might be expressed in numerical terms.
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