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Which scikit-learn object allows text vectorization with TF-IDF weighting?
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Which parameter normalizes TF-IDF vectors?
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What is the role of the use_idf parameter in TfidfVectorizer?
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Which parameter converts all words to lowercase?
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Which parameter limits the total number of retained words?
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Which method allows removing rows containing extreme outliers?
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Which command calculates the IQR of a column?
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Which command imports StandardScaler from scikit-learn?
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Which method is best suited to normalize data containing outliers?
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Which method allows visualizing outliers in a continuous variable?
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