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Welcome to the Data Science Basics MCQs Page

Dive deep into the fascinating world of Data Science Basics with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Data Science Basics, a crucial aspect of Data Science. In this section, you will encounter a diverse range of MCQs that cover various aspects of Data Science Basics, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Data Science.

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Check out the MCQs below to embark on an enriching journey through Data Science Basics. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Data Science.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Data Science Basics. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Data Science Basics MCQs | Page 3 of 8

Discuss
Answer: (a).Simple linear regression is equipped to handle more than one predictor
Q22.
Which of the following technique is also referred to as Bagging?
Discuss
Answer: (a).Bootstrap aggregating
Discuss
Answer: (b).Original version of data
Q24.
Standard normal RVs are always labelled as Z.
Discuss
Answer: (b).False
Q25.
Which of the following CLI command can also be used to rename files?
Discuss
Answer: (b).mv
Discuss
Answer: (b).CLI can help you to organize files and folders
Q27.
Which of the following command allows you to change directory to one level above your parent directory?
Discuss
Answer: (c).cd..
Q28.
Which of the following is not a CLI command?
Discuss
Answer: (a).delete
Discuss
Answer: (b).There is one and only flag for every command in CLI
Q30.
Which of the following systems record changes to a file over time?
Discuss
Answer: (b).Version Control
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