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Question 1 of 5
1. Question
Dimensionality reduction techniques are used to:
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Question 2 of 5
2. Question
Principal Component Analysis (PCA) is a dimensionality reduction technique that:
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Question 3 of 5
3. Question
PCA finds the directions of maximum variance in the data by
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Question 4 of 5
4. Question
Linear Discriminant Analysis (LDA) is a dimensionality reduction technique that
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Question 5 of 5
5. Question
Which dimensionality reduction technique is suitable for supervised learning tasks?
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