Practical Data Science using Python - Logistic Regression - Build the Logistic Model
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Information Technology (IT), Architecture, Mathematics
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University
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Practice Problem
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Hard
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10 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
What is a correlation matrix and how is it created?
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
Explain the significance of the correlation coefficient values ranging from -1 to 1.
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
What does a correlation coefficient of zero indicate about two variables?
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4.
OPEN ENDED QUESTION
3 mins • 1 pt
Why is it important to apply the ABS function when analyzing correlations?
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5.
OPEN ENDED QUESTION
3 mins • 1 pt
What steps should be taken when deciding which features to drop due to high correlation?
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6.
OPEN ENDED QUESTION
3 mins • 1 pt
Discuss the importance of visual analysis in the context of correlation and feature selection.
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7.
OPEN ENDED QUESTION
3 mins • 1 pt
Describe the purpose of adding a constant in a logistic regression model.
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