Machine Learning Random Forest with Python from Scratch - Labels and Features

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Information Technology (IT), Architecture
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10 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
What are the key terminologies associated with supervised machine learning?
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
Explain the difference between supervised and unsupervised machine learning.
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
What role do labels play in a dataset?
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4.
OPEN ENDED QUESTION
3 mins • 1 pt
What does it mean when we say that labels are interchangeable with targets?
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5.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the significance of converting labels into numeric form?
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6.
OPEN ENDED QUESTION
3 mins • 1 pt
How can features be defined in the context of machine learning?
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7.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the relationship between observations and features in a dataset?
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