Data Science Miscellaneous MCQ Questions and Answers | Data Science MCQs

A. Chi-squared test

B. T-test

C. ANOVA

D. Regression analysis

A. Increasing the sample size

B. Improving model accuracy

C. Removing outliers from a dataset

D. Reducing biases in data collection

A. The model fits the training data too closely and performs poorly on new data

B. The model generalizes well to new data

C. The model is too simple and underperforms on the training data

D. The model is perfectly accurate on all data

A. Data Modeling

B. Data Mining

C. Data Manipulation

D. None of the above

A. Matplotlib

B. Scikit-learn

C. spaCy

D. Seaborn

A. To build predictive models

B. To create visualizations

C. To collect more data

D. To understand the data's underlying structure and patterns

A. A technique for assessing a model's performance on unseen data

B. A method for finding optimal hyperparameters

C. A type of ensemble learning method

D. A way to preprocess data

A. To reduce dimensionality

B. To classify data into categories

C. To perform regression analysis

D. To group data points into clusters based on similarity

A. Scatter plot

B. Box plot

C. Histogram

D. Bar chart

A. System Query Language

B. Structured Query Language

C. Structured Question Language

D. None of the above