Data Science Quizzz!!
Designed for professionals or advanced learners.
It covers Machine Learning, Deep Learning, Statistics, Python, and Big data
1 / 12
Which metric is best suited for imbalanced classification problems?
2 / 12
What is the main advantage of using PCA (Principal Component Analysis)?
3 / 12
What is the main advantage of What is the main advantage of Gradient Boosting over Bagging? over Bagging?
4 / 12
In k-means clustering, what happens if you increase the value of k?
5 / 12
Which regularization method can shrink some coefficients to exactly zero?
6 / 12
Which algorithm uses a “kernel trick”?
7 / 12
In deep learning, what problem does Batch Normalization help mitigate?
8 / 12
What is the purpose of dropout in neural networks?
9 / 12
In a Random Forest, what reduces variance the most?
10 / 12
Which of the following algorithms is not an ensemble method?
11 / 12
Which activation function is most commonly used in the output layer for multi-class classification?
12 / 12
What does a high VIF (Variance Inflation Factor) indicate?
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