Data Science Miscellaneous MCQ Questions and Answers | Data Science MCQs

A. Separating a time series into its components, including trend, seasonality, and noise

B. Reducing the dimensionality of data

C. Creating a predictive model

D. Visualizing time series data

A. Regularization

B. Feature extraction

C. Undersampling

D. Oversampling

A. A measure of central tendency

B. A measure of data spread

C. A confidence interval

D. The probability of observing a test statistic as extreme as, or more extreme than, what was observed, assuming the null hypothesis is true

A. Data integration

B. Data augmentation

C. Data normalization

D. Data imputation

A. To create decision boundaries

B. To perform feature scaling

C. To calculate the mean squared error

D. To reduce the dimensionality of data while preserving pairwise similarities

A. Re-run the analysis

B. Review the code

C. Check the sensitivity

D. All of the mentioned

A. checkboxInput

B. dateInput

C. singleboxInput

D. all of the mentioned

A. dev.set

B. dev.int

C. dev.win

D. all of the mentioned

A. 2

B. 5

C. 8

D. All of the mentioned

A. Causal

B. Regression

C. Multivariate

D. All of the mentioned