1.2.2 - Normalization
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Practice Questions
Test your understanding with targeted questions
What is normalization in the context of machine learning?
💡 Hint: Think about why having different scales in features could be problematic.
Name one method of normalization.
💡 Hint: Remember 'Min-Max' scales data between 0 and 1.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the primary purpose of normalization in machine learning?
💡 Hint: Think about how different scales can affect model behavior.
True or False: Normalization helps models to process data consistently regardless of original value ranges.
💡 Hint: Reflect on the impact of varying scales.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Propose a comprehensive workflow for normalizing a dataset with multiple features, including outliers. Describe each step clearly.
💡 Hint: Think sequentially about how to process with outliers included.
Given a hypothetical scenario with fluctuating readings from IoT sensors due to environmental changes, how would you adapt your normalization methods over time?
💡 Hint: Consider what practices could maintain accuracy over time.
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