Data Science π Classification

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β’
Information Technology (IT), Architecture
β’
12th Grade - University
β’
Hard
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10 questions
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1.
OPEN ENDED QUESTION
3 mins β’ 1 pt
What is the purpose of preparing data before creating a classification model?
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2.
OPEN ENDED QUESTION
3 mins β’ 1 pt
Explain the difference between supervised and unsupervised learning.
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3.
OPEN ENDED QUESTION
3 mins β’ 1 pt
What is semi-supervised learning and how does it differ from the other types of learning?
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4.
OPEN ENDED QUESTION
3 mins β’ 1 pt
Describe the process of using a support vector classifier (SVC) for digit recognition.
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5.
OPEN ENDED QUESTION
3 mins β’ 1 pt
What are the advantages and disadvantages of using logistic regression?
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6.
OPEN ENDED QUESTION
3 mins β’ 1 pt
How does the K nearest neighbors algorithm work in classification?
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7.
OPEN ENDED QUESTION
3 mins β’ 1 pt
What is the role of a decision tree in classification tasks?
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