Practice Feature Engineering - 2.4 | 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 engineering?

πŸ’‘ Hint: Think about enhancing models and working with data.

Question 2

Easy

Name a benefit of feature selection.

πŸ’‘ Hint: Why is less often more in data science?

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 primary goal of feature engineering?

  • To create new features
  • To clean data
  • To improve model performance
  • To visualize data

πŸ’‘ Hint: Think about what you want your model to do better.

Question 2

True or False: Feature transformation is unnecessary if features are already well-defined.

  • True
  • False

πŸ’‘ Hint: Consider what models require from the data.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Create a dataset of customer purchases and apply feature engineering techniques to derive insights.

πŸ’‘ Hint: Look for features that summarize customer behavior.

Question 2

Select features from a dataset depicting car specifications and explain why you chose them.

πŸ’‘ Hint: Focus on attributes that affect performance and demand.

Challenge and get performance evaluation