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4 cards from this section. Quick, good the night before a test.
What is the first step in the basic ML workflow?
Think about what tools you need to start coding.
Why do we load and explore the dataset?
Consider what you would naturally want to check first.
What is the first step in the basic ML workflow?
Consider what framework you need to work within.
True or False: Preprocessing is not necessary if you have a clean dataset.
Think about different aspects of data preparation.
Consider a dataset with missing values across multiple features. What preprocessing steps would you recommend and why?
Think about how certain techniques affect the type of data you're working with.
If you're trying to classify images of animals, describe how you would approach selecting a model and what factors would influence your choice.
Consider what types of data models perform best with, especially in classification scenarios.
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