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				This section includes 10 Mcqs, each offering curated multiple-choice questions to sharpen your Technical MCQs knowledge and support exam preparation. Choose a topic below to get started.
| 1. | Which of the following are Features of Scikit Learn? | 
| A. | It is open source library and also commercially usable under BSD license | 
| B. | It is used to identify useful attributes to create supervised models | 
| C. | It is used to extract the features from data to define the attributes in image and text data | 
| D. | All of the above | 
| E. | |
| Answer» E. | |
| 2. | Scikit-Learn was initially developed by David Cournapeau as a Google summer of code project in 2007. | 
| A. | Yes | 
| B. | No | 
| C. | Can be yes or no | 
| D. | Can not say | 
| Answer» B. No | |
| 3. | Scikit-learn provides __________ classes. | 
| A. | 2 | 
| B. | 3 | 
| C. | 4 | 
| D. | 5 | 
| Answer» C. 4 | |
| 4. | Which of the following are Pros of SGD? | 
| A. | Stochastic Gradient Descent (SGD) requires several hyperparameters | 
| B. | It is sensitive to feature scaling | 
| C. | Stochastic Gradient Descent (SGD) is very efficient | 
| D. | All of the above | 
| Answer» D. All of the above | |
| 5. | The __________ is a regularized regression method that linearly combines both penalties i.e. L1 and L2 of the Lasso and Ridge regression methods. | 
| A. | Multi-task LASSO | 
| B. | Multi-task Elastic-Net | 
| C. | LASSO | 
| D. | Elastic-Net | 
| Answer» E. | |
| 6. | Which of the following is preprocessing technique is used when we need to convert our numerical values into Boolean values? | 
| A. | Binarized | 
| B. | Downsampling | 
| C. | Binarisation | 
| D. | Thresholding | 
| Answer» D. Thresholding | |
| 7. | In dataset loading, The variables of data are called its? | 
| A. | Response | 
| B. | Features | 
| C. | Target | 
| D. | Vector | 
| Answer» C. Target | |
| 8. | Scikit-Learn was originally called scikits.learn | 
| A. | TRUE | 
| B. | FALSE | 
| C. | Can be true or false | 
| D. | Can not say | 
| Answer» B. FALSE | |
| 9. | L1 Normalisation is also called? | 
| A. | Low Absolute Deviations | 
| B. | Least Squares | 
| C. | Low Squares | 
| D. | Least Absolute Deviations | 
| Answer» E. | |
| 10. | A collection of data is called? | 
| A. | dataload | 
| B. | dataset | 
| C. | data collection | 
| D. | None of the above | 
| Answer» C. data collection | |