1 :-

Which of the following is not a dimensionality reduction technique?

2 :-

In time series analysis, what is autocorrelation?

3 :-

What is the difference between precision and recall?

4 :-

Which algorithm is commonly used for clustering in unsupervised learning?

5 :-

What is a confusion matrix?

6 :-

What is the difference between regression and classification tasks in machine learning?

7 :-

In machine learning, what does the term "bag of words" refer to?

8 :-

What is the purpose of feature engineering?

9 :-

What is the primary goal of feature scaling in machine learning?

10 :-

What is the difference between supervised and reinforcement learning?

11 :-

What is underfitting and how can it be fixed?

12 :-

What is the main advantage of using ensemble methods such as Random Forest?

13 :-

What is the primary purpose of data cleaning in machine learning?

14 :-

What is the main difference between supervised and unsupervised learning?

15 :-

What is the primary purpose of regularization in linear regression?

16 :-

What is the difference between a decision tree and a random forest?

17 :-

What is the purpose of the bias-variance tradeoff in machine learning models?

18 :-

Which technique is used for handling imbalanced datasets in classification problems?

19 :-

What is the main advantage of using cloud computing for machine learning?

20 :-

What is the role of a loss function in machine learning?