Data Science and Machine Learning (Theory and Projects) A to Z - Features in Data Science: Feature Dimensionality Reduct

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Information Technology (IT), Architecture, Mathematics
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University
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Hard
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3 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
What are some examples of criteria used in feature selection methods?
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the significance of keeping the identity of original features in feature selection?
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
How does dimensionality reduction impact the interpretability of a model?
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