What is the purpose of feature engineering in data preprocessing?
A. To make data more complex
B. To extract meaningful features
C. To perform data cleaning
D. To visualize data
Answer: Option B
A. To make data more complex
B. To extract meaningful features
C. To perform data cleaning
D. To visualize data
Answer: Option B
What is the process of gathering data from various sources and storing it for analysis known as?
A. Data Wrangling
B. Data Collection
C. Data Visualization
D. Data Aggregation
Which of the following is NOT a common source of data for data collection in Data Science?
A. Social Media
B. Sensor Data
C. Print Media
D. Customer Surveys
A. Data Integration
B. Data Transformation
C. Data Aggregation
D. Raw Data Collection
A. CSV
B. JSON
C. XML
D. Unstructured Text Data
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