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1
Introduction.
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2
Explain your data preprocessing.
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3
Explain the models you used.
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4
Why did your model perform well?
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5
What is Boosting?
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6
What are the important hyperparameters of Gradient Boosting Classifier (GBC)?
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7
What is Bagging?
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8
Explain One-Hot Encoding (OHE).
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9
Explain Ordinal Encoding.
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10
Why do we use sparse_output=False in OneHotEncoder?
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11
Explain your encoding.
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12
Explain your scaling.
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13
Explain your hyperparameters.
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14
Explain your feature engineering.
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15
Coding: Separate numerical and categorical columns.
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16
Coding: Create separate preprocessing pipelines for numerical and categorical columns.
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17
Show your application/project.
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18
Coding: Modify a query using a filter.
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19
What is the difference between Authentication and Authorization?