-
1
What are the techniques for handling null values?
-
2
How do you handle imbalanced datasets?
-
3
Why did you try multiple models?
-
4
What is the relationship between Information Gain and Entropy?
-
5
Explain the Decision Tree building process.
-
6
Why did you choose that learning rate for LightGBM?
-
7
Coding: On the MNIST dataset, create a Pipeline with StandardScaler and SVM, print the Classification Report, then apply PCA with SVM and compare the scores.
-
8
Name different activation functions.
-
9
Explain the Tanh activation function (input and output).