Practice Creating Arrays In Numpy (3.3) - Chapter 3: Understanding NumPy for Machine Learning

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8 questions

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Exercise
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6 sample questions

Question 1.
What is the command to create a 1D array containing elements 5, 6, 7?
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Look for how we created arrays earlier.
Question 2.
How would you define an array?
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Think about what NumPy arrays represent.
3Question 3.
What function is used to create a NumPy array?
- create.array()
- np.array()
- array.create()
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Remember the prefix used with NumPy functions.
4Question 4.
True or False: A 2D NumPy array can represent a matrix.
- True
- False
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Consider the arrangement of numbers.
Question 5.
You have two arrays, a = np.array([2, 4, 6]) and b = np.array([1, 3, 5]). Write a code snippet to find their dot product.
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Remember how to perform element-wise multiplication.
Question 6.
Create a 4x4 identity matrix using NumPy and explain its significance.
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Think about the role of identity in matrix equations.

4 more questions in this section. Enroll free to practise them all.