Practice Useful Numpy Functions (3.5) - Chapter 3: Understanding NumPy for Machine Learning

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9 questions

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6 sample questions

Question 1.
What does the function np.zeros(3) return?
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What does 'zeros' imply?
Question 2.
What is the output of np.ones(5)?
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Think about what 'ones' means.
3Question 3.
What function creates an array filled with ones?
- np.zeros()
- np.ones()
- np.array()
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Think of what the name suggests.
4Question 4.
True or False: np.mean() computes the median of the elements in an array.
- True
- False
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What is the difference between mean and median?
Question 5.
Create a 2D array of shape (4, 2) filled with random numbers and calculate the mean and standard deviation of all the elements.
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What functions allow the generation of random values?
Question 6.
Consider an array with the values from 0 to 10 excluding 5. How would you construct this using NumPy and compute its standard deviation?
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How do you filter out specific values from an array?

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