Practice Introduction To Unsupervised Learning (5.2) - Unsupervised Learning & Dimensionality Reduction (Weeks 9)
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Introduction to Unsupervised Learning

Practice - Introduction to Unsupervised Learning

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define unsupervised learning in one sentence.

💡 Hint: Think about what the term 'unsupervised' implies.

Question 2 Easy

Name one application of unsupervised learning.

💡 Hint: Consider where raw data could help in grouping or clustering.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary goal of unsupervised learning?

Label new data
Group similar data points
Make predictions
None of the above

💡 Hint: Think about what we want to achieve without labels.

Question 2

True or False: Clustering is a task within unsupervised learning.

True
False

💡 Hint: Is clustering sometimes part of learning from unlabeled data?

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

A company wants to implement unsupervised learning for customer segmentation. Describe the steps they should take to prepare their data and select the appropriate algorithm.

💡 Hint: Consider the importance of cleaning the data before using clustering.

Challenge 2 Hard

How can unsupervised learning help in detecting fraudulent transactions? Take an example of clustering techniques.

💡 Hint: Think about how typical transactions differ from suspicious ones.

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Reference links

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