9.5 - Step 4: Build the Model – Logistic Regression
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Practice Questions
Test your understanding with targeted questions
What is logistic regression primarily used for?
💡 Hint: Think about what type of results logistic regression returns.
What method is used to fit a logistic regression model in Python?
💡 Hint: This method is commonly used in machine learning to train models.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does logistic regression predict?
💡 Hint: Remember what kind of outcomes we discussed.
True or False: Logistic regression can only handle linear relationships.
💡 Hint: Think about the flexibility of logistic regression.
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Challenge Problems
Push your limits with advanced challenges
If a logistic regression model predicts a 0.65 chance of passing for a student with 3 study hours and 70% attendance, what strategies would you recommend for this student? Provide at least three.
💡 Hint: Think about the inputs the model suggests improving.
Create a scenario with three different student profiles that might yield different probabilities using logistic regression. What outcomes would you expect based on varying study hours and attendance?
💡 Hint: Focus on how input variations affect the predicted probabilities.
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