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Data Scientist

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1. Which algorithm is used for sequence generation tasks in natural language processing?

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2. What is the main advantage of using gradient boosting over random forest?

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3. Which method is used for time series decomposition?

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4. What is the purpose of dropout regularization in neural networks?

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5. Which algorithm is used for feature extraction in deep learning?

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6. Which evaluation metric is suitable for imbalanced classification problems?

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7. What is the main advantage of using a recurrent neural network (RNN) over a feedforward neural network?

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8. Which method is used for hyperparameter tuning?

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9. What is the purpose of the Leaky ReLU activation function?

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10. Which algorithm is used for dimensionality reduction in large datasets?

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11. What is the purpose of batch normalization in neural networks?

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12. Which algorithm is used for anomaly detection?

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13. What is the purpose of the elbow method in K-means clustering?

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14. Which technique is used for feature selection?

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15. What is the purpose of cross-entropy loss function?

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16. Which algorithm is used for sentiment analysis?

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17. What is the main disadvantage of using k-nearest neighbors (KNN) algorithm?

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18. What is the purpose of L1 regularization?

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19. Which algorithm is used for natural language processing (NLP) tasks?

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20. Which method is used for outlier detection?

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21. Which algorithm is used for collaborative filtering?

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22. What is the purpose of a confusion matrix?

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23. What is the purpose of One-Hot Encoding?

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24. Which statistical test is used for comparing means of two independent groups?

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25. Which algorithm is used for association rule mining?

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26. What does the term "p-value" represent in hypothesis testing?

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27. What is the main advantage of using ensemble methods?

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28.  What is the purpose of feature engineering?

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29. Which technique is used for handling missing data?

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30. Which of the following is NOT a classification algorithm?

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31. What is the purpose of feature scaling?

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32. Which algorithm is used for time series forecasting?

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33. What is the purpose of cross-validation in machine learning?

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34. Which evaluation metric is suitable for regression tasks?

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35. Which algorithm is used for imbalanced classification problems?

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36. What does AUC-ROC measure in classification models?

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37. Which of the following is NOT a dimensionality reduction technique?

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38.  What is the purpose of regularization in machine learning?

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39. What is the purpose of exploratory data analysis (EDA)?

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40. Which of the following is a supervised learning algorithm?

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