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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the first step in the basic ML workflow?
💡 Hint: Think about what tools you need to start coding.
Question 2
Easy
Why do we load and explore the dataset?
💡 Hint: Consider what you would naturally want to check first.
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 is the first step in the basic ML workflow?
- A. Load Data
- B. Import Libraries
- C. Train Model
💡 Hint: Consider what framework you need to work within.
Question 2
True or False: Preprocessing is not necessary if you have a clean dataset.
- True
- False
💡 Hint: Think about different aspects of data preparation.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Consider a dataset with missing values across multiple features. What preprocessing steps would you recommend and why?
💡 Hint: Think about how certain techniques affect the type of data you're working with.
Question 2
If you're trying to classify images of animals, describe how you would approach selecting a model and what factors would influence your choice.
💡 Hint: Consider what types of data models perform best with, especially in classification scenarios.
Challenge and get performance evaluation