5.8.2 - Standardization (Z-score Scaling)
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Practice Questions
Test your understanding with targeted questions
What is the formula for calculating the Z-score?
💡 Hint: Remember to consider how both mean and standard deviation are involved.
Why is standardization important?
💡 Hint: Think about different scales of data.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does standardization do to a dataset?
💡 Hint: Think about the concept of mean and deviation.
True or False: Standardization is necessary for all types of data.
💡 Hint: Consider cases where features are homogeneous.
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Challenge Problems
Push your limits with advanced challenges
Suppose you have a dataset with weight, height, and age of individuals. Explain how you would prepare this dataset for a clustering algorithm using Z-score scaling.
💡 Hint: Consider how different measurements affect clustering.
You are given a choice between normalization and standardization for a dataset heavily skewed by outliers. Which method would you choose and why?
💡 Hint: Recall the effect of outliers on each method.
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