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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is polynomial regression?
π‘ Hint: Think about how it compares to linear regression.
Question 2
Easy
What are polynomial features?
π‘ Hint: Consider how these features are formed.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does polynomial regression allow us to do?
π‘ Hint: Think about how polynomial terms help capture curves.
Question 2
True or False: Higher-degree polynomials always improve model performance.
π‘ Hint: Consider the consequences of fitting noise in data.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Create a dataset that follows a non-linear trend and use polynomial regression to model it. Visualize the fit and discuss any patterns you observe.
π‘ Hint: Remember to check for any signs of overfitting or underfitting in the graph.
Question 2
Discuss how polynomial regression can be combined with regularization techniques to prevent overfitting. Provide specific examples of these techniques.
π‘ Hint: Think about how adding penalties affects the complexity of the model.
Challenge and get performance evaluation