21. The applications of Data Science are

1. Airline Route Planning
2. Healthcare
3. Fraud and Risk Detection
4. All of the above

22. A correct way to preprocess the data When performing regression or classification is 

1. Normalize the data → PCA → training
2. PCA → normalize PCA output → training
3. Normalize the data → PCA → normalize PCA output → training
4. None of the above

23. Which of the following uses data on some object to predict values for other object ?

1. Inferential
2. Predictive
3. Exploratory
4. None of the above

24. Point out the correct statement.

1. Data has only qualitative value
2. Data has both qualitative and quantitative value
3. Data has only quantitative value
4. None of the above

25. Which of the following is the common goal of statistical modeling?

1. Inference
2. Subsetting
3. Summarizing
4. None of the above

Neural Networks MCQ Questions And Answers

26. Which of the following is a branch of statistics?

1. Descriptive statistics
2. Industry statistics
3. Inferential statistics
4. Both A and C

27. ________ is the basic data structure of pandas that can be thought of SQL table or a spreadsheet data representation.

1. Series
2. List
3. Dataframe
4. ndarray

28. Advantages of Data Science are 

1. Data Science is Versatile
2. Abundance of Positions
3. A Highly Paid Career
4. All of the above

29. Which of the following is another name for raw data?

1. Destination data
2. Eggy data
3. Machine learning
4. Secondary data

30. Disadvantages of Data Science are 

1. Arbitrary Data May Yield Unexpected Results
2. Data Science is Blurry Term
3. Large Amount of Domain Knowledge Required
4. All of the above