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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is normalization in data analysis?
💡 Hint: Think about why we might want to adjust values.
Question 2
Easy
What does Min-Max Scaling do?
💡 Hint: Consider the limits of the new scale.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does Min-Max Scaling do to the data?
- Brings data to a range of [0
- 1]
- Removes outliers
- Standardizes data
💡 Hint: Think about how we order the data.
Question 2
True or False: Normalization is unnecessary for all machine learning algorithms.
- True
- False
💡 Hint: Consider models that distance features in their calculations.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Imagine you have a dataset consisting of people's ages and incomes. The ages range from 10 to 80 years, and incomes from $20,000 to $120,000. If you were to apply Min-Max Scaling, show how the transformed values for age 40 and an income of $50,000 would appear.
💡 Hint: Apply the Min-Max Scaling formula for each value.
Question 2
Provide a scenario where applying Min-Max Scaling can lead to misleading results and explain why.
💡 Hint: Reflect on the effects of extreme values in normalization.
Challenge and get performance evaluation