11
What is the primary purpose of feature scaling in machine learning?
A)
To increase model complexity
B)
To add more features to the dataset
C)
To bring all features to a similar scale for better model performance
D)
To remove irrelevant features
Answer & Solution
Answer: Option
C
12
What is the term for the process of converting text data into numerical form for machine learning?
A)
Feature scaling
B)
One-hot encoding
C)
Data normalization
D)
Text vectorization
Answer & Solution
Answer: Option
D
13
What does the acronym "API" stand for in the context of data and software integration?
A)
Application Programming Interface
B)
Advanced Programming Integration
C)
Algorithmic Programming Interface
D)
Automated Program Integration
Answer & Solution
Answer: Option
A
14
In the context of data analysis, what is the primary goal of hypothesis testing?
A)
To visualize data
B)
To summarize data
C)
To build predictive models
D)
To determine if there is a significant difference or effect
Answer & Solution
Answer: Option
D
15
What statistical technique is used to estimate population parameters from a sample of data?
A)
Descriptive statistics
B)
Exploratory data analysis
C)
Inferential statistics
D)
Data preprocessing
Answer & Solution
Answer: Option
C
16
What is the term for the process of finding and correcting errors in a dataset?
A)
Data transformation
B)
Data cleaning
C)
Data aggregation
D)
None of the above
Answer & Solution
Answer: Option
B
17
In data science, what does the acronym "ETL" stand for?
A)
Encode, Tokenize, Leverage
B)
Estimate, Test, Label
C)
Extract, Transform, Load
D)
Explore, Train, Learn
Answer & Solution
Answer: Option
C
18
What is the primary goal of A/B testing in data analysis?
A)
To create visualizations
B)
To build predictive models
C)
To collect more data
D)
To compare two versions of a webpage or product to determine which one performs better
Answer & Solution
Answer: Option
D
19
In the context of machine learning, what is the purpose of regularization techniques such as L1 and L2 regularization?
A)
To prevent overfitting by adding a penalty term to the loss function
B)
To remove outliers from the data
C)
To increase model complexity
D)
To reduce dimensionality
Answer & Solution
Answer: Option
A
20
What is the term for the process of converting categorical data into numerical form for machine learning?
A)
Data normalization
B)
Text vectorization
C)
Feature scaling
D)
One-hot encoding
Answer & Solution
Answer: Option
D
