Practice Feature Selection - 2.5.3 | 2. Data Wrangling and Feature Engineering | Data Science Advance
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Feature Selection

2.5.3 - Feature Selection

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Learning

Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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.

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