Data Preprocessing Quiz

What is the main goal of data preprocessing?

• Create new machine learning models

• Visualize data

• Prepare raw data for analysis

• Increase data storage

Which of the following is not a typical data preprocessing step?

• Handling missing values

• Model tuning

• Encoding categorical variables

• Data normalization

Why is Exploratory Data Analysis (EDA) important?

• It helps select the best algorithm

• It trains the model

• It helps understand data patterns and distributions

• It predicts future trends

What is an outlier?

• A value that falls within the normal range

• A duplicated data entry

• A missing value

• A value that differs significantly from other observations

Which of the following is a technique used during EDA?

• Grid search

• Data encryption

• Box plot

• Recursive feature elimination

What is the purpose of normalization?

• To make data more secure

• To reduce data size

• To scale features to a similar range

• To convert text to numbers

Which of the following methods is used for normalizing data?

• One-hot encoding

• Min-max scaling

• Label encoding

• PCA

Which method is used to convert categorical variables into numeric in machine learning?

• Fourier transform

• One-hot encoding

• Normalization

• Clustering

What is supervised learning?

• Learning without labels

• Learning from labeled data

• Learning through trial and error

• Learning based on clustering

Which of the following is an example of structured data?

• Social media comments

• Images

• Excel table with sales figures

• Audio clips