Data Science Miscellaneous MCQ Questions and Answers | Data Science MCQs

A. Visualizing data

B. Feature selection

C. Assessing the goodness of fit of a sample distribution to a theoretical distribution

D. Clustering

A. Data aggregation

B. Data normalization

C. Word embedding

D. Data imputation

A. To reduce the number of clusters

B. To add more clusters

C. To visualize data

D. To choose initial cluster centroids in a way that improves the convergence of the algorithm

A. Probabilistic model

B. Unsupervised model

C. Regression model

D. Decision tree model

A. To collect more data

B. To build predictive models

C. To create visualizations

D. To assess the generalization performance of a model

A. A measure of variance

B. A measure of central tendency

C. A measure of the asymmetry in the distribution of data

D. A measure of data spread

A. The proportion of true positives

B. The proportion of true positive predictions among all positive predictions

C. The proportion of false positives

D. The proportion of true positives

A. To create decision boundaries

B. To visualize data

C. To transform data into a higher-dimensional space for better separability

D. To reduce the dimensionality of data

A. Data imputation

B. Data normalization

C. Data aggregation

D. Principal Component Analysis (PCA)

A. Probability distribution

B. Confidence interval

C. Variance estimation

D. Probability distribution