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Quiz on Unsupervised Learning

Quiz on Unsupervised Learning

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Question 1 of 10

1. Question

What is the main goal of unsupervised learning?

Predict target labels using input features
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Learn patterns from data without labeled outputs
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Train a model using human instructions
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Detect syntax errors in the dataset
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Question 2 of 10

2. Question

Which of the following is an example of unsupervised learning?

Spam email detection
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Customer segmentation
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Loan approval prediction
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Sentiment analysis
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Question 3 of 10

3. Question

What is missing in an unsupervised learning dataset?

Data types
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Features
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Labels or target output
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Training data
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Question 4 of 10

4. Question

Which of these tasks is best handled by unsupervised learning?

Classifying cats and dogs
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Predicting house prices
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Grouping similar news articles
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Detecting fake reviews
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Question 5 of 10

5. Question

Which algorithm is used in unsupervised learning?

Linear Regression
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Decision Tree
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K-Means Clustering
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Logistic Regression
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Question 6 of 10

6. Question

Unsupervised learning is useful when:

We know the output labels
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Data is labeled and structured
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Data is unlabeled and we want to find hidden structure
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We need fast training
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Question 7 of 10

7. Question

Which of the following is NOT a common use case for unsupervised learning?

Market basket analysis
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Customer segmentation
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Image classification with labeled data
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Dimensionality reduction
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Question 8 of 10

8. Question

PCA (Principal Component Analysis) is an example of:

Classification
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Supervised learning
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Unsupervised learning
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Regression
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Question 9 of 10

9. Question

What does clustering aim to do in unsupervised learning?

Separate labeled classes
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Predict numerical values
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Group similar data points together
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Train deep learning models
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Question 10 of 10

10. Question

Which of these is a benefit of unsupervised learning?

Requires labeled datasets
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Needs less data than supervised learning
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Useful when labels are unavailable or expensive
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Only works with images
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