Machine Learning Basics with Scikit-Learn

Evaluate your understanding of datasets,model training,and evaluation in scikit-learn.

1. Which type of machine learning requires labeled training data?
2. Which Scikit-Learn module contains tools for data preprocessing?
3. Which of the following is a regression algorithm in Scikit-Learn?
4. What is the default scoring metric for LogisticRegression in Scikit-Learn?
5. Which method is used to train a Scikit-Learn model on data?
6. What does the 'fit_transform()' method do in Scikit-Learn preprocessing?
7. Which built-in dataset in Scikit-Learn is commonly used for classification tasks?
8. RandomForestClassifier is an example of which type of model?
9. Select all examples of supervised learning algorithms in Scikit-Learn.
10. Which of the following are preprocessing techniques in Scikit-Learn?
11. Which metrics are used for evaluating regression models?
12. Which Scikit-Learn tools are used for model selection?
13. Select all clustering algorithms available in Scikit-Learn.
14. Scikit-Learn provides built-in deep learning models.
15. The 'predict()' method of a classifier returns class labels, while 'predict_proba()' returns class probabilities.
16. Unsupervised learning requires labeled training data.
17. All Scikit-Learn estimators implement the 'fit' method.
18. What does 'ML' stand for in the context of machine learning?
19. Name the Scikit-Learn function used to compute cross-validation scores (abbrev.)
20. What is the full form of 'SVM'?
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