Data Science Miscellaneous MCQ Questions and Answers

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Each section contains 100 MCQs on Data Science Miscellaneous .

What is the primary purpose of the "Kolmogorov-Smirnov test" in statistics?

A) Visualizing data B) Feature selection C) Assessing the goodness of fit of a sample distribution to a theoretical distribution D) Clustering

Discuss

Answer & Solution

Answer: Option C

No explanation is given for this question. Let's Discuss on Board

In data science, what is the term for the process of converting text data into numerical form while preserving semantic meaning?

A) Data aggregation B) Data normalization C) Word embedding D) Data imputation

Discuss

Answer & Solution

Answer: Option C

No explanation is given for this question. Let's Discuss on Board

What is the main objective of "k-means++" initialization in the K-means clustering algorithm?

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

Discuss

Answer & Solution

Answer: Option D

No explanation is given for this question. Let's Discuss on Board

In machine learning, what is the term for a method that assigns a probability to each possible outcome for a given input?

A) Probabilistic model B) Unsupervised model C) Regression model D) Decision tree model

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Answer & Solution

Answer: Option A

No explanation is given for this question. Let's Discuss on Board

What is the primary purpose of "cross-validation" in machine learning?

A) To collect more data B) To build predictive models C) To create visualizations D) To assess the generalization performance of a model

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Answer & Solution

Answer: Option D

No explanation is given for this question. Let's Discuss on Board

In data science, what does the term "skewness" refer to when analyzing data distributions?

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

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Answer & Solution

Answer: Option C

No explanation is given for this question. Let's Discuss on Board

What does the term "precision" represent in the context of classification model evaluation?

A) The proportion of true positives B) The proportion of true positive predictions among all positive predictions C) The proportion of false positives D) None of the above

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Answer & Solution

Answer: Option B

No explanation is given for this question. Let's Discuss on Board

In the context of machine learning, what is the purpose of the "kernel trick" in support vector machines (SVMs)?

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

Discuss

Answer & Solution

Answer: Option C

No explanation is given for this question. Let's Discuss on Board

What is the term for the process of reducing the dimensionality of data while preserving as much of the variance as possible?

A) Data imputation B) Data normalization C) Data aggregation D) Principal Component Analysis (PCA)

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Answer & Solution

Answer: Option D

No explanation is given for this question. Let's Discuss on Board

In data science, what is the term for the process of quantifying the uncertainty associated with a statistical estimate?

A) Probability distribution B) Confidence interval C) Variance estimation D) None of the above

Discuss

Answer & Solution

Answer: Option B

No explanation is given for this question. Let's Discuss on Board

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Data Science Miscellaneous MCQ Questions and Answers | Data Science MCQs