21. What is the term for the process of converting data into a structured format suitable for analysis and storage?
22. Which data collection method involves gathering data by directly interacting with subjects or participants?
23. What is the purpose of feature engineering in data preprocessing?
24. Which of the following is NOT a common data preprocessing technique?
25. In data collection, what is the term for data that has not been processed or analyzed and is in its original form?
26. What is the term for the process of selecting a representative subset of a larger dataset for analysis?
27. Which data preprocessing step involves checking for and handling duplicate records in a dataset?
28. What is the primary goal of data preprocessing in the context of machine learning?
29. In data preprocessing, what is the term for the process of converting categorical data into binary format?
30. What is the term for the process of handling missing data in a dataset by estimating values based on available data?
Read More Section(Data Collection and Preprocessing)
Each Section contains maximum 100 MCQs question on Data Collection and Preprocessing. To get more questions visit other sections.