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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a linear model?
π‘ Hint: Think of the simplest model in statistics.
Question 2
Easy
Why can't linear models capture non-linear relationships?
π‘ Hint: Look at how the graph of linear models looks.
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 is a key limitation of linear models?
π‘ Hint: Ineffective modeling of complex data structures.
Question 2
True or False: Feature transformation makes linear models more effective without any downsides.
π‘ Hint: Consider the trade-offs involved in model improvement.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Consider a dataset where the class separations form concentric circles. Discuss why linear models would be unsuitable and propose an alternative modeling approach.
π‘ Hint: Visualize the data layout before choosing your model.
Question 2
Analyze the computational trade-offs of using feature transformation versus opting for non-linear models directly. Which approach would you recommend for a large dataset?
π‘ Hint: Consider the balance between computational resources and model accuracy.
Challenge and get performance evaluation