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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 5 of 8

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Q41.
Which of the following is the correct way of creating GitHub repository in to well labelled commits?
Discuss
Answer: (a).Fork another user’s repository
Q42.
Which of the following command is used to squash the commits?
Discuss
Answer: (a).rebase
Q43.
Which of the following statement would create branch named as β€˜compsciedu’?
Discuss
Answer: (a).git checkout -b compsciedu
Q44.
branch command is used to determine which branch you are currently in.
Discuss
Answer: (a).True
Discuss
Answer: (b).Descriptions can be generalized without statistical modelling
Q46.
Which of the following allows you to find the relationship you didn’t about?
Discuss
Answer: (b).Exploratory
Q47.
Which of the following command help us to give message description?
Discuss
Answer: (a).git command -m
Discuss
Answer: (a).Exploratory analyses are usually the final way
Q49.
Which of the following uses data on some object to predict values for other object?
Discuss
Answer: (c).Predictive
Q50.
Which of the following is the common goal of statistical modelling?
Discuss
Answer: (a).Inference
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