Practice Creating Arrays in NumPy - 3.3 | Chapter 3: Understanding NumPy for Machine Learning | Machine Learning Basics
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3.3 - Creating Arrays in NumPy

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the command to create a 1D array containing elements 5, 6, 7?

πŸ’‘ Hint: Look for how we created arrays earlier.

Question 2

Easy

How would you define an array?

πŸ’‘ Hint: Think about what NumPy arrays represent.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What function is used to create a NumPy array?

  • create.array()
  • np.array()
  • array.create()

πŸ’‘ Hint: Remember the prefix used with NumPy functions.

Question 2

True or False: A 2D NumPy array can represent a matrix.

  • True
  • False

πŸ’‘ Hint: Consider the arrangement of numbers.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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.

πŸ’‘ Hint: Remember how to perform element-wise multiplication.

Question 2

Create a 4x4 identity matrix using NumPy and explain its significance.

πŸ’‘ Hint: Think about the role of identity in matrix equations.

Challenge and get performance evaluation