Practice Unsupervised Learning — Learning Without Answers (2.3) - Chapter 2: Types of Machine Learning

Practice: Unsupervised Learning — Learning Without Answers

Lesson 2.3Types of Machine Learning

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9 questions

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6 sample questions

Question 1.
Define Unsupervised Learning in your own words.
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Think about learning without feedback.
Question 2.
What is clustering?
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Consider how you would group different types of items.
3Question 3.
What does Unsupervised Learning aim to achieve?
- Predicting outcomes
- Finding patterns
- Both
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Recall the example of sorting fruits.
4Question 4.
True or False: Unsupervised Learning requires labeled data to operate.
- True
- False
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Think about how the computer learns.
Question 5.
Design a clustering system for a new online retail store to group products based on user browsing behavior. Describe how the system would work based on Unsupervised Learning principles.
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Think about the features you would analyze for clustering.
Question 6.
Suppose you have a dataset with customer purchase history but no labels. What steps would you take to implement Unsupervised Learning?
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Consider the preprocessing and feature selection parts.

5 more questions in this section. Enroll free to practise them all.