2.3 - Data Transformation Techniques
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Practice Questions
Test your understanding with targeted questions
What is normalization?
💡 Hint: Think about how you adjust numbers to make them fit within a range.
Define one-hot encoding.
💡 Hint: Consider how categories can be represented as yes/no for machine learning input.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does normalization achieve in data transformation?
💡 Hint: Think about scaling the data values.
True or False: One-hot encoding creates multiple binary columns for each category.
💡 Hint: Consider how categories can be restructured.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
You have a dataset with both categorical and continuous variables. How would you prepare this data for a machine learning model? Include which transformation techniques you would use for each variable type and why.
💡 Hint: Think through the nature of the data.
Explain how log transformation might impact a regression analysis model based on skewed data. What are the potential benefits and drawbacks?
💡 Hint: Consider both analysis outcomes and interpretation challenges.
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