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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does the command df.describe() do?
💡 Hint: Think about the summary you can get about numbers.
Question 2
Easy
What is the purpose of examining categorical variables?
💡 Hint: Consider why we investigate different groups in data.
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 purpose of df.info() in data analysis?
- To display summary statistics
- To show information about DataFrame structure
- To count unique values in a column
💡 Hint: Think about what foundational insights you get from a dataset.
Question 2
True or False: Understanding descriptive statistics is important before starting machine learning.
- True
- False
💡 Hint: Consider what helps guide model development.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Suppose your attendance column has missing values. How would you approach imputation? Select a strategy and justify your choice.
💡 Hint: Think about which measure reflects your data's distribution best.
Question 2
If you find that most students in preparation_course passed, while those who didn’t often failed, how could this information guide your machine learning model?
💡 Hint: Consider how features impact model decisions.
Challenge and get performance evaluation