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WorksheetsML Quiz
Total questions: 20
Worksheet time: 10mins
Name
Class
Date
1.
How many types of machine learning are commonly recognized?
a)
Two
b)
Three
c)
Four
d)
Five
2.
What command is commonly used to install Jupyter Notebook?
a)
pip install notebook
b)
conda install jupyter
c)
install jupyter notebook
d)
jupyter install notebook
3.
Which type of learning involves training a model on labeled data to predict future outcomes?
a)
Supervised Learning
b)
Unsupervised Learning
c)
Reinforcement Learning
d)
Semi-Supervised Learning
4.
How many primary types of data are typically encountered in machine learning?
a)
Two
b)
Three
c)
Four
d)
Five
5.
For which type of data is categorical data primarily used?
a)
Representing ordered values
b)
Representing continuous values
c)
Representing possible categories or labels
d)
Representing time series data
6.
What method is commonly used to load a dataset into Python for analysis?
a)
Using the read_csv() function in pandas
b)
Using the load_data() function in matplotlib
c)
Using the load_dataset() function in scikit-learn
d)
Using the fetch_data() function in seaborn
7.
What is the primary purpose of Matplotlib in a machine learning project?
a)
Data analysis
b)
Data visualization
c)
Data preprocessing
d)
Model training
8.
Which of the following are types of unsupervised learning?
a)
Clustering & Regression
b)
Classification & Association Analysis
c)
Clustering & Association Analysis
d)
Regression & Classification
9.
In Python, slicing starts from:
a)
0
b)
1
c)
-1
d)
Depends on the data structure
10.
What is a box plot commonly used for?
a)
Representing frequency distributions
b)
Showing the relationship between two variables
c)
Identifying outliers in a dataset
d)
Visualizing categorical data
11.
Data preprocessing means:
a)
Cleaning and preparing data for analysis
b)
Analyzing the data
c)
Visualizing the data
d)
Model training
12.
Choose correct flowchart for doing ML applications:
a)
Data Collection ➡️ Data Preprocessing ➡️ Model Training ➡️ Model Evaluation ➡️ Model Deployment
b)
Model Training ➡️ Model Evaluation ➡️ Data Collection ➡️ Data Preprocessing ➡️ Model Deployment
c)
Data Preprocessing ➡️ Data Collection ➡️ Model Training ➡️ Model Evaluation ➡️ Model Deployment
d)
Data Collection ➡️ Model Training ➡️ Data Preprocessing ➡️ Model Evaluation ➡️ Model Deployment
13.
In which type of learning does an agent learn to interact with an environment to achieve a goal?
a)
Supervised Learning
b)
Unsupervised Learning
c)
Reinforcement Learning
d)
Semi-Supervised Learning
14.
What is the primary role of Pandas in a machine learning project?
a)
Manipulating dataframes
b)
Data visualization
c)
Data preprocessing
d)
Model training
15.
What is the main functionality of Numpy in a machine learning project?
a)
Manipulating arrays and matrices
b)
Data visualization
c)
Data preprocessing
d)
Model training
16.
For which type of data is numerical data primarily used?
a)
Representing ordered values
b)
Representing continuous values
c)
Representing possible categories or labels
d)
Representing time series data
17.
For which type of data is categorical data primarily used?
a)
Representing ordered values
b)
Representing continuous values
c)
Representing possible categories or labels
d)
Representing time series data
18.
Which of the following belongs to regression algorithms?
a)
Naive Bayes
b)
Support Vector Machines (SVM)
c)
Random Forest
d)
Polynomial Regression
19.
Which of the following belongs to classification Algorithms?
a)
Random Forest
b)
Ridge Regression
c)
Lasso Regression
d)
k-Nearest Neighbors (k-NN)
20.
What is the primary purpose of the Iris dataset in machine learning?
a)
To predict the species of iris flowers based on various features
b)
To classify images of different types of irises
c)
To analyze the correlation between petal length and sepal width
d)
To visualize the distribution of iris species in different regions
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