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1
What is stratify in train_test_split?
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2
Why do we use stratify?
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3
How can you find correlation between categorical variables?
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4
How can you determine whether a model is biased?
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5
These were already included in your master list: Theory about the models used. Precision, Recall, F1 Score. Suggestions for improving the model. Where else the model can be applied. General conceptual questions from the notebook.
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6
What is stratify?
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7
Why is stratify used?
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8
How do you measure correlation between categorical variables?
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9
How do you identify whether a machine learning model is biased?