6 - Supervised Learning – Linear Regression
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Practice Questions
Test your understanding with targeted questions
What is supervised learning?
💡 Hint: Think about providing answers alongside data.
What does MSE stand for?
💡 Hint: What does 'error' signify in this context?
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What type of data is used in supervised learning?
💡 Hint: Focus on what supervised means.
Is a higher R² score better for a model's performance?
💡 Hint: What does R² measure in terms of variance?
2 more questions available
Challenge Problems
Push your limits with advanced challenges
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.
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.
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