Practice Binning - 2.3.3 | 2. Data Wrangling and Feature Engineering | Data Science Advance
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does binning refer to in data transformation?

💡 Hint: Think about how we categorize things.

Question 2

Easy

Give an example of a binning range for ages.

💡 Hint: Think about how you might group friends by age.

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 binning?

  • Converting categorical data into numeric values
  • Grouping continuous numeric data into categorical bins
  • Filtering rows from data

💡 Hint: Think about how we might organize data into groups.

Question 2

True or False: Binning can improve model interpretability.

  • True
  • False

💡 Hint: Remember the purpose of organizing data.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You have a dataset of test scores ranging from 0 to 100. Design a binning strategy that would capture the performance into distinct categories that would help a teacher analyze student performance effectively.

💡 Hint: Think about how each category reflects increasing performance.

Question 2

How might binning skew the analysis of trends in a dataset? Provide a theoretical example.

💡 Hint: Consider how grouping affects visibility in data.

Challenge and get performance evaluation