Data Analytics and Machine Learning Quiz

What is the primary purpose of exploratory data analysis?

• To create new features

• To gain insights and summarize dataset

• To validate the data

• To predict future outcomes

Which of the following is NOT a part of data cleaning?

• Handling missing values

• Removing duplicates

• Outlier detection

• Forecasting

What does feature selection aim to achieve?

• To validate the model

• To reduce dimensionality by retaining relevant features

• To clean the data

• To create new features

In predictive analytics, what is forecasting used for?

• To classify data points

• To predict future events and trends

• To enhance strategic business decisions

• To analyze historical data

What does the slope (m) in the linear regression equation represent?

• The starting point of the line

• The dependent variable

• The independent variable

• How much Y changes when X changes

What is the role of support vectors in Support Vector Machines?

• To define the hyperplane

• To clean the data

• To predict outcomes

• To reduce dimensionality

How does a Decision Tree Regressor make predictions?

• By following a flowchart of questions

• By using statistical modeling

• By applying linear regression

• By using a single decision tree

What is the main advantage of using Random Forest Regression?

• It uses a single decision tree

• It combines predictions from multiple trees

• It requires less data

• It is easier to interpret

Which library is primarily used for numerical computing in Python?

• Scikit-learn

• Pandas

• Seaborn

• NumPy

What type of problems do Support Vector Machines primarily address?

• Data visualization

• Data preprocessing

• Data cleaning

• Classification and regression