Data Science and Machine Learning (Theory and Projects) A to Z - Hands-on Machine Learning Project Using Scikit-Learn: C

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Information Technology (IT), Architecture, Social Studies
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University
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Hard
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10 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
What are hyperparameters, and why are they important in model fitting?
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the purpose of cross validation in model selection?
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
Describe the process of applying cross validation to a dataset.
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4.
OPEN ENDED QUESTION
3 mins • 1 pt
How can you determine the best degree of polynomial for fitting data?
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5.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the role of the validation curve in model selection?
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6.
OPEN ENDED QUESTION
3 mins • 1 pt
Explain the significance of training and validation scores in model evaluation.
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7.
OPEN ENDED QUESTION
3 mins • 1 pt
What steps would you take to troubleshoot a model that is not performing well?
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