Practice Unsupervised Learning - 2.2 | Introduction to Machine Learning | Data Science Basic
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Unsupervised Learning

2.2 - Unsupervised Learning

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define Unsupervised Learning.

💡 Hint: Think about data that doesn't have tags.

Question 2 Easy

What is clustering?

💡 Hint: It’s about finding groups.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary goal of unsupervised learning?

To classify data
To predict outcomes
To discover patterns

💡 Hint: Think about the lack of labels in the data.

Question 2

True or False: Unsupervised Learning requires labeled data.

True
False

💡 Hint: Consider the definition of learning types.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You have a dataset of customer behaviors without labels. How can you use unsupervised learning to improve your marketing strategy?

💡 Hint: Consider how customer patterns could inform marketing.

Challenge 2 Hard

Discuss the limitations of unsupervised learning when it comes to interpretation and application in a real-world scenario.

💡 Hint: Think about how you would assess the quality of results.

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Reference links

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