Practice Normalization (Min-Max Scaling) - 5.8.1 | Data Cleaning and Preprocessing | Data Science Basic
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Normalization (Min-Max Scaling)

5.8.1 - Normalization (Min-Max Scaling)

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Learning

Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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.

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