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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What function in NumPy calculates the mean of an array?
💡 Hint: Think about how average is calculated.
Question 2
Easy
What is the primary purpose of NumPy?
💡 Hint: Remember its common usage in ML.
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 does NumPy primarily deal with?
- Strings
- Numbers
- Characters
💡 Hint: Think of the name: it starts with 'Num'!
Question 2
True or False: NumPy can handle operations on entire arrays at once.
- True
- False
💡 Hint: Consider how it differs from standard Python lists.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a list of numbers, create a NumPy array, calculate the variance, and explain its significance in ML.
💡 Hint: Variance gives insight into data spread. Think about how this relates to predictions.
Question 2
Create a function that takes in two NumPy arrays and returns their dot product. Discuss how this operation is useful in ML.
💡 Hint: Consider how weighting inputs relates to predictions.
Challenge and get performance evaluation