Data Science MCQs with answers Page - 136

Here, you will find a collection of MCQ questions on Data Science. Go through these questions to enhance your preparation for upcoming examinations and interviews.

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Q. What does the term "overfitting" mean in machine learning?

  • (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

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Q. In the CRISP-DM data mining process model, what does "DM" stand for?

  • (A) Data Modeling
  • (B) Data Mining
  • (C) Data Manipulation
  • (D) Data Modeling

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Q. Which Python library is commonly used for natural language processing tasks such as text tokenization and language understanding?

  • (A) Matplotlib
  • (B) Scikit-learn
  • (C) spaCy
  • (D) Seaborn

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Q. What is the main purpose of the K-means clustering algorithm?

  • (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

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Q. Which data visualization technique is suitable for displaying the distribution of a single numerical variable?

  • (A) Scatter plot
  • (B) Box plot
  • (C) Histogram
  • (D) Bar chart

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Q. What does the acronym "SQL" stand for in the context of databases?

  • (A) System Query Language
  • (B) Structured Query Language
  • (C) Structured Question Language
  • (D) System Query Language

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