MCQOPTIONS
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MCQOPTIONS
This section includes 15 Mcqs, each offering curated multiple-choice questions to sharpen your Data Science knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
Predictive analytics is same as forecasting. |
| A. | True |
| B. | False |
| Answer» C. | |
| 2. |
Which of the following function can be used for forecasting? |
| A. | predict |
| B. | forecast |
| C. | ets |
| D. | all of the mentioned |
| Answer» C. ets | |
| 3. |
Which of the following is used to assist the quantitative trader in the development? |
| A. | quantmod |
| B. | quantile |
| C. | quantity |
| D. | mboost |
| Answer» B. quantile | |
| 4. |
Which of the following function provides unsupervised prediction? |
| A. | cl_forecast |
| B. | cl_nowcast |
| C. | cl_precast |
| D. | none of the mentioned |
| Answer» E. | |
| 5. |
Which of the following method can be used to combine different classifiers? |
| A. | Model stacking |
| B. | Model combining |
| C. | Model structuring |
| D. | None of the mentioned |
| Answer» B. Model combining | |
| 6. |
Which of the following methods are present in caret for regularized regression? |
| A. | ridge |
| B. | lasso |
| C. | relaxo |
| D. | all of the mentioned |
| Answer» E. | |
| 7. |
Which of the following is correct about regularized regression? |
| A. | Can help with bias trade-off |
| B. | Cannot help with model selection |
| C. | Cannot help with variance trade-off |
| D. | All of the mentioned |
| Answer» B. Cannot help with model selection | |
| 8. |
WHICH_OF_THE_FOLLOWING_FUNCTION_CAN_BE_USED_FOR_FORECASTING_??$ |
| A. | predict |
| B. | forecast |
| C. | ets |
| D. | all of the Mentioned |
| Answer» C. ets | |
| 9. |
Predictive_analytics_is_same_as_forecasting.$ |
| A. | True |
| B. | False |
| Answer» C. | |
| 10. |
Which of the following is used to assist the quantitative trader in the development ? |
| A. | quantmod |
| B. | quantile |
| C. | quantity |
| D. | mboost |
| Answer» B. quantile | |
| 11. |
Model based prediction considers relatively easy version for covariance matrix. |
| A. | True |
| B. | False |
| Answer» C. | |
| 12. |
Which of the following function provides unsupervised prediction ? |
| A. | cl_forecast |
| B. | cl_nowcast |
| C. | cl_precast |
| D. | none of the Mentioned |
| Answer» E. | |
| 13. |
Which of the following method can be used to combine different classifiers ? |
| A. | Model stacking |
| B. | Model combining |
| C. | Model structuring |
| D. | None of the Mentioned |
| Answer» B. Model combining | |
| 14. |
Which of the following methods are present in caret for regularized regression ? |
| A. | ridge |
| B. | lasso |
| C. | relaxo |
| D. | all of the Mentioned |
| Answer» E. | |
| 15. |
Which of the following is correct about regularized regression ? |
| A. | Can help with bias trade-off |
| B. | Cannot help with model selection |
| C. | Cannot help with variance trade-off |
| D. | All of the Mentioned |
| Answer» B. Cannot help with model selection | |