Data Science and Machine Learning (Theory and Projects) A to Z - NumPy for Numerical Data Processing: Slicing-Part 2

Data Science and Machine Learning (Theory and Projects) A to Z - NumPy for Numerical Data Processing: Slicing-Part 2

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Interactive Video

Information Technology (IT), Architecture, Mathematics

University

Hard

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The video tutorial covers various operations on arrays using Numpy. It starts with locating elements in arrays and finding their indices. It then explores two-dimensional array operations, including accessing specific elements, rows, and columns. The tutorial also introduces Numpy's linear algebra library, highlighting functions like eigenvalues and matrix inversion. Finally, it discusses sorting arrays by rows and columns, emphasizing the use of axes for sorting multidimensional arrays.

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3 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the method to access an entire row or column in a two-dimensional array?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What functionalities does the linear algebra library in Numpy provide?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain how to sort the columns of a multidimensional array individually.

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