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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is supervised learning?
💡 Hint: Think about providing answers alongside data.
Question 2
Easy
What does MSE stand for?
💡 Hint: What does 'error' signify in this context?
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 type of data is used in supervised learning?
- Labeled
- Unlabeled
- Random
💡 Hint: Focus on what supervised means.
Question 2
Is a higher R² score better for a model's performance?
- True
- False
💡 Hint: What does R² measure in terms of variance?
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
A company wants to predict salaries based on years of relevant experience. If they have a dataset showing 5 data points pairs, how would you apply linear regression to this dataset using Python? Describe your steps.
💡 Hint: Consider every step from data preprocessing to result interpretation.
Question 2
Explain how you would improve a linear regression model exhibiting a high MSE value. What strategies would you use?
💡 Hint: Think about data sources and model adjustments.
Challenge and get performance evaluation