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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does NumPy stand for?
💡 Hint: Think about what it does with numbers.
Question 2
Easy
What is the primary use of NumPy in ML?
💡 Hint: How does it help with data?
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
Which of the following libraries is primarily used for numerical calculations in Python?
- Pandas
- NumPy
- Matplotlib
💡 Hint: Think about libraries tailored for numbers.
Question 2
True or False: NumPy can only be used for 2D arrays.
- True
- False
💡 Hint: Consider different dimensions arrays.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given an array of study hours hours = np.array([2, 4, 6, 8]), compute the predicted scores if each hour of study earns 15 points.
💡 Hint: Think about how to perform element-wise multiplication.
Question 2
You are given two matrices A = np.array([[1, 2], [3, 4]]) and B = np.array([[5, 6], [7, 8]]). Calculate the dot product.
💡 Hint: What is the rule for multiplying rows by columns?
Challenge and get performance evaluation