Practice Supervised Vs Unsupervised Learning (in Context Of Modelling) (7.5)

Practice: Supervised vs Unsupervised Learning (in Context of Modelling)

Lesson 7.5Modelling

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10 questions

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3 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
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6 sample questions

Question 1.
What type of data does supervised learning use?
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Think about whether the data has known answers.
Question 2.
What is the main goal of unsupervised learning?
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It doesn’t involve labeled data.
3Question 3.
What type of data is used in supervised learning?
- Labeled Data
- Unlabeled Data
- Both
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Remember the term 'labeled' refers to data with known outcomes.
4Question 4.
True or False: Unsupervised learning can predict outcomes based on labeled data.
- True
- False
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Think about what defines 'unsupervised'.
Question 5.
Design a hybrid system that employs both supervised and unsupervised learning techniques to analyze student performance data. What algorithms would you utilize, and how might each contribute to the analysis?
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Think about the advantages of combining both labeled and unlabeled data insights.
Question 6.
Develop a use case for unsupervised learning that assists in improving a retail store's layout based on customer movement data. What data would you collect and analyze?
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Focus on discovering patterns in how customers navigate the store.

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