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Data Science Multiple Choice Questions (MCQ) Online Test #19
Data Science MCQ #181:
What is "bias-variance tradeoff" in the context of machine learning?
Data Science MCQ #182:
Which technique is commonly used for handling missing values in a dataset?
Data Science MCQ #183:
What is the main goal of "predictive modeling" in data science?
Data Science MCQ #184:
In data science, what is "data sampling" used for?
Data Science MCQ #185:
What is "feature scaling" in data science?
Data Science MCQ #186:
What does "outlier detection" help to identify in a dataset?
Data Science MCQ #187:
Which of the following is a common technique for dimensionality reduction?
Data Science MCQ #188:
What is the role of "exploratory data analysis" (EDA) in the data science workflow?
Data Science MCQ #189:
In data science, what is "model validation" used for?
Data Science MCQ #190:
What does "model evaluation" involve in data science?
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- This online test, titled "Data Science Multiple Choice Questions (MCQ) Online Test #19" is designed for individuals at the advanced level and focuses on "Data Science". It consists of 10 carefully crafted multiple choice questions (MCQs) with five options each that assess advanced knowledge and understanding of the subject matter. This test aims to help participants evaluate their grasp of key concepts related to "Data Science".
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