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How do you handle missing or corrupted data in a dataset?
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What is the purpose of performing cross-validation?
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Suppose we would like to perform clustering on spatial data such as the geometrical locations of houses. We wish to produce clusters of many different sizes and shapes. Which of the following methods is the most appropriate?
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Which of the following is NOT supervised learning?
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Which of the following techniques can not be used for normalization in text mining?
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What is a sentence parser typically used for?
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High entropy means that the partitions in classification are
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Which of the following is a reasonable way to select the number of principal components \"k\"?
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Which of the following is a disadvantage of decision trees?
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When performing regression or classification, which of the following is the correct way to preprocess the data?
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How do you handle missing or corrupted data in a dataset?
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Which of the following statements about regularization is not correct?
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In Model based learning methods, an iterative process takes place on the ML models that are built based on various model parameters, called ?
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