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Machine Learning (ML) MCQs | Page - 31
Dear candidates you will find MCQ questions of Machine Learning (ML) here. Learn these questions and prepare yourself for coming examinations and interviews. You can check the right answer of any question by clicking on any option or by clicking view answer button.
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Q. 301) Can we extract knowledge without apply feature selection
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Q. 302) While using feature selection on the data, is the number of features decreases.
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Q. 303) Which of the following are several models
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Q. 304) provides some built-in datasets that can be used for testing purposes.
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Q. 305) While using all labels are turned into sequential numbers.
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Q. 306) produce sparse matrices of real numbers that can be fed into any machine learning model.
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Q. 307) scikit-learn offers the class , which is responsible for filling the holes using a strategy based on the mean, median, or frequency
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Q. 308) Which of the following scale data by removing elements that don't belong to a given range or by considering a maximum absolute value.
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Q. 309) scikit-learn also provides a class for per- sample normalization,
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Q. 310) dataset with many features contains information proportional to the independence of all features and their variance.
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