Data Science Multiple Choice Questions (MCQ) Online Test #17
What is the primary purpose of "exploratory data analysis" (EDA) in data science?
Which data science technique is used to predict a continuous outcome variable?
What does the term "feature engineering" refer to in data science?
In data science, what does "cross-validation" help to assess?
What is the purpose of "data normalization" in data science?
Which algorithm is commonly used for classification tasks in data science?
What is the goal of "dimensionality reduction" in data science?
What does the "confusion matrix" evaluate in a classification model?
Which metric is commonly used to evaluate the performance of regression models?
What does "unsupervised learning" involve in data science?
For each of the 10 "Data Science" multiple choice questions (MCQs), you need to choose the correct answer from five provided options and ensure that all questions are answered before clicking the
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Data Science Multiple Choice Questions (MCQ s)
Online Test #17
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- This online test, titled "Data Science Multiple Choice Questions (MCQ) Online Test #17" 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".