Practice Feature Construction - 2.5.4 | 2. Data Wrangling and Feature Engineering | Data Science Advance
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Feature Construction

2.5.4 - Feature Construction

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Learning

Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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.

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