Practice Unsupervised Learning (1.2.3.2) - ML Fundamentals & Data Preparation
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Unsupervised Learning

Practice - Unsupervised Learning

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is unsupervised learning?

💡 Hint: Think about how the model learns without guidance.

Question 2 Easy

Give an example of clustering.

💡 Hint: Consider how companies analyze consumer behavior.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the main objective of unsupervised learning?

To predict outputs based on labels
To discover hidden patterns in data
To eliminate irrelevant data

💡 Hint: Think about how the model learns without being told what to find.

Question 2

True or False: Clustering is a supervised learning technique.

True
False

💡 Hint: Remember the definitions of supervised vs unsupervised learning.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Explore how you could use unsupervised learning techniques to identify fraudulent transactions in a banking dataset that contains transaction details without fraud labels.

💡 Hint: Think about inherent similarities in transaction behaviors.

Challenge 2 Hard

Given a dataset with hundreds of features, detail a strategy using PCA to visualize the data in two dimensions.

💡 Hint: What steps do you take to ensure each feature contributes equally?

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