Practice Feature Selection - 2.5.3 | 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 is feature selection?

💡 Hint: Remember, it enhances model performance.

Question 2

Easy

What is one benefit of feature selection?

💡 Hint: Think about why simpler models are often better.

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 defines feature selection?

  • Selecting irrelevant features
  • Choosing relevant features
  • Eliminating all features

💡 Hint: This process is key for better modeling.

Question 2

True or False: Wrapper methods are independent of models.

  • True
  • False

💡 Hint: Consider the relationship of this method with models.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a dataset with 30 features and a performance bottleneck, describe how you would approach feature selection using different methods.

💡 Hint: Think about processing efficiency in your approach.

Question 2

You have a mixed dataset (numerical and categorical variables). How would feature selection differ from solely numerical data?

💡 Hint: Consider the implications of data types on feature relevance.

Challenge and get performance evaluation