Practice Feature Construction - 2.5.4 | 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 is feature construction?

💡 Hint: Think about how you could make one feature from two or more existing ones.

Question 2

Easy

Provide an example of feature construction.

💡 Hint: Consider how two numeric features relate.

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 main goal of feature construction?

  • To reduce data size
  • To create new features for better model performance
  • To eliminate noise

💡 Hint: Consider the relationship between features and how they improve outcomes.

Question 2

True or False: Aggregation means to sum up all the data points into a single metric.

  • True
  • False

💡 Hint: Think about how we simplify data analysis.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You are given a dataset containing monthly sales data for products over several years. Suggest two feature construction strategies to enhance your forecasting model.

💡 Hint: Think about how past data can lead to insights for future predictions.

Question 2

Design a feature construction plan for a health dataset that includes various health metrics. How would you approach combining features?

💡 Hint: Consider metrics that represent good health benefits.

Challenge and get performance evaluation