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4 cards from this section. Quick, good the night before a test.
What is the purpose of data exploration?
Think about what we need before building our AI model.
Name one task involved in data cleaning.
What do we do when we find similar data entries?
Why is data exploration critical in the AI project cycle?
Think about the importance of data in AI.
Does data cleaning improve the dataset quality?
Why should we remove errors from the dataset?
Consider a scenario where you have a massive dataset containing customer feedback. Describe the step-by-step process you would follow to explore the data effectively.
Think about how to systematically approach understanding the data.
You notice that after cleaning and exploring your data, some features seem less relevant. How would you determine whether to keep or discard these features?
What criteria would you use to judge a feature's importance?
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