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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does the passed column represent?
💡 Hint: The outcome of the exam is a binary variable.
Question 2
Easy
How would you describe study_hours?
💡 Hint: Look for data on how each student's study time affects their performance.
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
What is the target variable in our dataset?
- Study Hours
- Passed
- Attendance
💡 Hint: Identify the outcome we wish to predict.
Question 2
True or False: Preparation_course is a numeric feature.
- True
- False
💡 Hint: Reflect on how categorical data can be used in modeling.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a larger dataset with more features, how would you approach feature selection for your model?
💡 Hint: Think about how to maintain predictive power while simplifying your model.
Question 2
Explain the risks involved in using a dataset that contains missing values when training your model.
💡 Hint: Consider how accuracy can be impacted by lack of data.
Challenge and get performance evaluation