Practice Feature Engineering (2.4) - Data Wrangling and Feature Engineering

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9 questions

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5 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is feature engineering?
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Think about enhancing models and working with data.
Question 2.
Name a benefit of feature selection.
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Why is less often more in data science?
3Question 3.
What is the primary goal of feature engineering?
- To create new features
- To clean data
- To improve model performance
- To visualize data
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Think about what you want your model to do better.
4Question 4.
True or False: Feature transformation is unnecessary if features are already well-defined.
- True
- False
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Consider what models require from the data.
Question 5.
Create a dataset of customer purchases and apply feature engineering techniques to derive insights.
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Look for features that summarize customer behavior.
Question 6.
Select features from a dataset depicting car specifications and explain why you chose them.
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Focus on attributes that affect performance and demand.

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