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1
Explain your notebook/project.
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2
Explain each section of your notebook.
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3
How did you use Pipeline?
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4
What is Cross Validation (CV)?
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5
How does Cross Validation work?
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What resources did you use?
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7
Which is your best model?
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8
Why is it your best model?
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9
What is Hyperparameter Tuning?
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Which Hyperparameter Tuning technique did you use?
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11
Explain Bagging.
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Explain Boosting.
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13
Explain the Hyperparameter Tuning section.
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14
What is the learning rate?
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15
Where and why is the learning rate used?
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16
Coding: Load the dataset.
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Coding: Filter rows where ManufactureYear > 2005.
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Coding: For the filtered dataset, find the distribution of the UtilizationTier column.
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Suggestion: Add insights for each model using graphs or tables.
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20
Suggestion: Revise MLT theory and practice live coding for Level 2.