11. What does the term "data wrangling" refer to in the context of a data science capstone project? A. Data exploration B. Model deployment C. Data cleaning and preparation D. Data visualization Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option C No explanation is given for this question Let's Discuss on Board
12. Why is it important to document the project report in a data science capstone project? A. To add complexity to the project B. To impress the advisor C. To avoid project presentation D. To provide a clear project summary Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option D No explanation is given for this question Let's Discuss on Board
13. Which phase of a capstone project involves assessing the model's performance and making improvements? A. Model evaluation and refinement B. Data preprocessing C. Data visualization D. Data collection Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option A No explanation is given for this question Let's Discuss on Board
14. What is the significance of peer evaluation in a data science capstone project? A. Replace the project report B. Document the project process C. Assign grades to the project D. Assess project contributions Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option D No explanation is given for this question Let's Discuss on Board
15. What is the primary objective of a data science capstone project's final report? A. Showcase code and data B. Provide a detailed bibliography C. Present project findings and insights D. Highlight project weaknesses Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option C No explanation is given for this question Let's Discuss on Board
16. What is the primary purpose of the "problem statement" in a data science capstone project? A. Provide a literature review B. Define the project scope C. Choose the programming language D. Provide a literature review Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option B No explanation is given for this question Let's Discuss on Board
17. Why is it important to define clear success criteria for a data science capstone project? A. To write a longer project report B. To impress the mentor C. To measure project's impact D. To add complexity to the project Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option C No explanation is given for this question Let's Discuss on Board
18. In a data science capstone project, what does "feature engineering" involve? A. Writing the final report B. Selecting the mentor C. Visualizing data distributions D. Creating new data variables Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option D No explanation is given for this question Let's Discuss on Board
19. What is the primary role of "model evaluation" in a data science capstone project? A. Assessing the model's performance B. Writing the project proposal C. Data collection D. Data preprocessing Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option A No explanation is given for this question Let's Discuss on Board
20. What is the significance of "deployment" in the context of a data science capstone project? A. Conducting exploratory analysis B. Selecting the dataset C. Adding complexity to the project D. Putting the model into production Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option D No explanation is given for this question Let's Discuss on Board
