Python for Data Science and Machine Learning
Python for Data Science and Machine Learning - Important Points
| 26. | Which of the following is a technique for imbalanced classification problems? |
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A. SMOTE
B. Gradient descent
C. Lasso regularization
D. None of the above
View Answer Discuss Work SpaceAnswer: option a
Explanation:
SMOTE (Synthetic Minority Over-sampling Technique) is a technique used for imbalanced classification problems, which creates synthetic samples of the minority class to balance the dataset.
| 27. | Which of the following is a method for selecting the optimal number of clusters in K-means clustering? |
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A. Elbow method
B. Gradient descent
C. PCA
D. None of the above
View Answer Discuss Work SpaceAnswer: option a
Explanation:
Elbow method is a method used for selecting the optimal number of clusters in K-means clustering, by plotting the within-cluster sum of squares against the number of clusters and selecting the number of clusters where the curve bends.
| 28. | Which of the following is a type of ensemble learning in machine learning? |
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A. Decision tree
B. Random forest
C. Logistic regression
D. None of the above
View Answer Discuss Work SpaceAnswer: option b
Explanation:
Random forest is a type of ensemble learning in machine learning, which combines multiple decision trees to improve the accuracy and robustness of the model.
| 29. | Which of the following is a method for feature scaling in machine learning? |
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A. Standardization
B. Normalization
C. Log transformation
D. All of the above
View Answer Discuss Work SpaceAnswer: option d
Explanation:
All of the above methods can be used for feature scaling in machine learning, depending
| 30. | Which of the following is a Python library for deep learning? |
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A. Keras
B. Scikit-learn
C. Matplotlib
D. Seaborn
View Answer Discuss Work SpaceAnswer: option a
Explanation:
Keras is a Python library for deep learning, providing a high-level interface for building neural networks.