BCSE206L Foundations of Data Science (Theory) Winter 2024-25 (C2+TC2) [VL2024250502010]
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Which of the following statements about the K-means algorithm are correct? (i) The K-means algorithm is sensitive to outliers. (ii) The centroids in the K-means algorithm may not be any observed data points. (iii) For different initializations, the K-means algorithm will definitely give the same clustering results. (iv) The K-means algorithm can detect non-convex clusters.
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When we create DataFrame from List of Dictionaries, then number of rows in DataFrame is equal to the _______
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Which clustering algorithm is suitable for high-dimensional data?
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Let’s say the occurrence of word x is 3 with target_outcome=positive in training data. Assuming we have 4 features in our dataset, and N=200 (total number of positive reviews). Find p(x|positive).
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What is the output of the following code?print(df.iloc[2:5])
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What is the output of this code- (NumPy has been imported as np.)? table = np.array([[1,3],[2,4]])print(table.max(axis=1))
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What is the output of the below code?df.loc[df.clmn==10,:]
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Which of the returns he statistical data about the numerical columns in the data frame df?
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Represent the documents in vector form after stop word removal.
Document-1: He is a smart boy. She is also smart.
Document-2: Chirag is a smart person.
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