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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the target variable in our dataset?
💡 Hint: It's the variable we want to predict.
Question 2
Easy
What is the feature we are using in our logistic regression model?
💡 Hint: Look for the input variable.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
Which one of the following is the target variable in logistic regression?
💡 Hint: It's what we want to know after studying hours.
Question 2
True or False: Logistic Regression is a regression algorithm.
💡 Hint: Think about what kind of output it predicts.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Given a dataset of student hours and pass rates, design a logistic regression model from scratch. What steps would you take?
💡 Hint: Consider what preprocessing you might need to do.
Question 2
In certain situations, logistic regression may not work well. What could these situations be, and why?
💡 Hint: Think of how data might look if we do plots.
Challenge and get performance evaluation