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1
What is the problem statement?
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2
Explain your notebook/project.
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3
Explain Precision.
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4
Explain Recall.
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5
Explain F1-Score.
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6
Why did you use Label Encoding instead of other encoding techniques?
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7
Explain the hyperparameters you used.
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8
Explain Logistic Regression.
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9
Explain SVM.
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10
What is a kernel in SVM?
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11
Explain KNN.
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12
Why is KNN called a lazy learner?
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13
What are the different types of SVM kernels?
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14
Explain Bagging.
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15
Explain Boosting.
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16
Why did you use Random Forest?
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17
What are feature selection techniques?
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18
What is ROC-AUC?
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19
Why didn't you use ROC-AUC as the scoring metric?