2.3 - Summary
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Practice Questions
Test your understanding with targeted questions
What is data wrangling?
💡 Hint: Think about the steps needed to prepare data for analysis.
Name a common task in data wrangling.
💡 Hint: Consider what challenges data often presents.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does 'data wrangling' mean?
💡 Hint: Remember, it's about making data usable.
True or False: Feature engineering is only about creating new features.
💡 Hint: Consider the full scope of feature engineering.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Given a dataset with several missing values, outline a detailed strategy for handling these under different missingness scenarios (MCAR, MAR, MNAR).
💡 Hint: Think about how the nature of missing data influences your approach.
Consider a dataset where certain features are highly correlated. Discuss feature selection approaches and their implications on model accuracy.
💡 Hint: Evaluate the importance of each feature.
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