These questions are designed to test deep knowledge of data science, spanning machine learning, model evaluation, and advanced concepts.

Data Science Expert Quiz 9

These questions are designed to test deep knowledge of data science, spanning machine learning, model evaluation, and advanced concepts.

1 / 10

In time series forecasting, which of the following is used to model seasonal variation?

2 / 10

In a Random Forest, how is the decision of each individual tree determined?

3 / 10

Which loss function is commonly used in logistic regression?

4 / 10

What is the key difference between L1 and L2 regularization?

5 / 10

In PCA (Principal Component Analysis), the principal components are determined by maximizing which of the following?

6 / 10

Which of the following algorithms does NOT belong to unsupervised learning?

7 / 10

What does the term “curse of dimensionality” refer to in machine learning?

8 / 10

Which evaluation metric is most appropriate for imbalanced classification problems?

9 / 10

In gradient boosting, which technique is used to reduce overfitting?

10 / 10

Which of the following is NOT an assumption of linear regression?

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