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Question: In Random Forests, how are the trees typically constructed?Options: Using all features for..
Question: Which algorithm is primarily used for regression tasks in Decision Trees?Options: CART (Cl..
Question: What is the purpose of the \'min_samples_split\' parameter in a Decision Tree?Options: To ..
Question: In Random Forests, what does \'bagging\' refer to?Options: Using all available features fo..
Question: What is the role of \'feature importance\' in Random Forests?Options: To determine the num..
Question: Which evaluation metric is commonly used to assess the performance of a Decision Tree clas..
Question: How does a Random Forest handle missing values?Options: It cannot handle missing values.It..
Question: What is a limitation of Decision Trees?Options: They are very interpretableThey can easily..
Question: In which application would you use Decision Trees for customer segmentation?Options: Predi..
Question: What is a key advantage of using ensemble methods like Random Forests?Options: They are si..
Question: Which of the following is a benefit of using Random Forests in classification tasks?Option..
Question: What is a common use case for Random Forests in real-world applications?Options: Image rec..
Question: What is the purpose of the \'bootstrap\' sampling method in Random Forests?Options: To cre..
Question: What is the role of \'max_features\' in Random Forests?Options: To limit the number of tre..
Question: Which of the following statements is true about Decision Trees?Options: They can only be u..
Question: What is the role of the fully connected layer in a CNN?Options: To perform convolution ope..
Question: In which application are CNNs most commonly used?Options: Natural Language ProcessingImage..
Question: What is transfer learning in deep learning?Options: Training a model from scratch on a new..
Question: Which of the following distance metrics is commonly used in K-means clustering?Options: Ma..
Question: Which of the following clustering methods can produce non-convex clusters?Options: K-means..
Question: In which scenario would you prefer hierarchical clustering over K-means?Options: When the ..
Question: What is the main advantage of using hierarchical clustering?Options: It is faster than K-m..
Question: In which scenario would K-means clustering be preferred over hierarchical clustering?Optio..
Question: What is the main purpose of using distance metrics in clustering algorithms?Options: To de..
Question: Which clustering method is more suitable for discovering non-spherical clusters?Options: K..
Question: Which of the following is a characteristic of hierarchical clustering?Options: It requires..
Question: Which of the following is NOT a characteristic of cloud ML services?Options: On-demand res..
Question: What is the role of AutoML in cloud ML services?Options: To automate data entry tasksTo si..
Question: Which cloud ML service is specifically designed for building and deploying machine learnin..
Question: What is a common use case for cloud ML services in businesses?Options: Data storage onlyRe..
