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SciPy MCQ

Correct Answer : Option (A) :   det()


Explanation : In SciPy, this is computed using the det() function.

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Correct Answer : Option (C) :   Dense Array

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Correct Answer : Option (B) :   Delaunay()

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Correct Answer : Option (D) :   0

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Correct Answer : Option (B) :   connected_components()

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Correct Answer : Option (A) :   The level of significance.

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Correct Answer : Option (C) :   Av = lambda*v


Explanation :

We can find the Eigen values (lambda) and the corresponding Eigen vectors (v) of a square matrix (A) by considering the following relation.

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Correct Answer : Option (C) :   rank


Explanation : Dimensions are called as axes. The number of axes is called as rank.

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Correct Answer : Option (B) :   Most of the values are not zero

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Correct Answer : Option (D) :   count_nonzeros()

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