31. What is the primary purpose of "feature selection" in a data science capstone project? A. Choose the mentor B. Replace data exploration C. Reduce dimensionality of data D. Increase complexity of 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
32. In a data science capstone project, what is the significance of "data imbalance" and "class imbalance"? A. Creating additional data features B. Enhancing model interpretability C. Writing the project proposal D. Uneven distribution of target classes 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
33. Why is it important to consider "ethics" and "bias" when working on a data science capstone project? A. Ensure fair and responsible outcomes B. Add complexity to the project C. Replace data exploration D. Choose the mentor 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
34. What is the role of "model explainability" in a data science capstone project? A. Data preprocessing B. Model deployment C. Visualize data distributions D. Understand why the model makes predictions 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
35. What is the primary objective of "hyperparameter tuning" in machine learning within a capstone project? A. Increase project complexity B. Replace data exploration C. Optimize model performance D. Choose the mentor 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
36. What is the significance of "deployment testing" in a data science capstone project? A. Conduct data exploration B. Ensure the model works in production C. Simplify the project report D. Conduct data exploration 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
37. In a data science capstone project, why is it essential to maintain a "model performance dashboard"? A. Choose the mentor B. Replace data exploration C. Monitor model performance over time D. 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
38. What is the role of "documentation" in a data science capstone project? A. Enhance model interpretability B. Model deployment C. Data preprocessing D. Record project processes and findings 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
39. What is the primary focus of "deployment monitoring" in a data science capstone project? A. Ensure the model remains effective B. Writing the project proposal C. Selecting the programming language D. Visualizing data distributions 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
40. In a data science capstone project, why is "retraining" or "model maintenance" essential for deployed machine learning models? A. Choose the mentor B. Replace data exploration C. Create more project documentation D. Adapt to changing data patterns 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
