Data science miscellaneous questions with answers
260 multiple-choice questions. Open any question for its answer and explanation.
- In machine learning, what is the term for a technique that combines multiple models and selects the best-performing one for predictions?
- Which of the following is used for creating interacting tables?
- What is the primary goal of feature engineering in machine learning?
- Spinning plots can be used for two dimensional data.
- How many stages commonly occurs in creation of plot?
- In data science, what is the term for the process of reducing the volume of data while retaining meaningful information?
- In the context of natural language processing (NLP), what does "TF-IDF" stand for?
- In the context of data ethics, what is "informed consent"?
- Which of the following argument specifies margin size with regards to par function?
- In data science, what does the term "skewness" refer to when analyzing data distributions?
- Some ufuncs can take output arguments.
- Which of the the following graphic device information is odd man out in the below figure?
- Which of the following is required to implement a literate programming system?
- What is the primary purpose of "t-SNE" (t-distributed stochastic neighbor embedding) in data visualization?
- Dependencies are checked explicitly in caching caveats.
- In data science, what does the acronym "ETL" stand for?
- Which of the following clustering type has characteristic shown in the below figure?
- Which of the following combination is incorrect?
- The . . . . . . . . basically states that the sample mean is consistent.
- Which of the following goal is incorrectly represented in the below figure?
- What is the primary purpose of feature scaling in machine learning?
- Which of the following block information is odd man out in the below figure?
- Which of the following is a bitmap file type?
- Point out the wrong statement with respect to reproducibility.
- Point out the correct statement with respect to replication.