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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the equation for simple linear regression?
💡 Hint: Think of Y as the value you want to predict.
Question 2
Easy
Name one advantage of using polynomial regression over linear regression.
💡 Hint: Consider scenarios where data trends change direction.
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
Which method is used to update parameters in a regression model to minimize errors?
- Stochastic Gradient Descent
- Batch Gradient Descent
- Both
- Neither
💡 Hint: Think about how progressive updates can occur in gradient descent.
Question 2
True or False: Higher R-squared values always indicate a better model.
- True
- False
💡 Hint: Consider whether all metrics need to be examined for model performance.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You are given a dataset representing house prices over time. Describe how you would approach building both a linear regression model and a polynomial regression model and the considerations involved in each.
💡 Hint: No hint provided
Question 2
Explain why the bias-variance trade-off is crucial when developing predictive models and give practical solutions for managing this trade-off.
💡 Hint: No hint provided
Challenge and get performance evaluation