Data Science for Engineers Quiz

Data Science for Engineers Quiz

University

32 Qs

quiz-placeholder

Similar activities

Pengantar Teknologi Informasi-Latihan UAS

Pengantar Teknologi Informasi-Latihan UAS

University

27 Qs

Machine Learning Fundamentals Unit - 1

Machine Learning Fundamentals Unit - 1

University

30 Qs

YPR_CS_G2

YPR_CS_G2

2nd Grade - University

28 Qs

Match the following

Match the following

University

28 Qs

data mining

data mining

University

30 Qs

Teknik Penulisan Karya Ilmiah

Teknik Penulisan Karya Ilmiah

University - Professional Development

27 Qs

Calibración en Python

Calibración en Python

University - Professional Development

27 Qs

Database Management Systems - Final Examination

Database Management Systems - Final Examination

University

30 Qs

Data Science for Engineers Quiz

Data Science for Engineers Quiz

Assessment

Quiz

Computers

University

Hard

Created by

Mrs.Kujani Chennai

Used 2+ times

FREE Resource

AI

Enhance your content in a minute

Add similar questions
Adjust reading levels
Convert to real-world scenario
Translate activity
More...

32 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first step in the data science process?

Data Collection

Data Cleaning

Data Visualization

Model Evaluation

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is an example of supervised learning?

K-Means Clustering

Linear Regression

PCA (Principal Component Analysis)

Association Rule Mining

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In data science, 'feature scaling' is necessary for which type of algorithms?

Tree-based algorithms

Distance-based algorithms

Rule-based algorithms

All of the above

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is not a commonly used metric for classification problems?

Precision

Recall

Mean Absolute Error

F1-Score

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of cross-validation in machine learning?

Reducing data dimensionality

Estimating model performance on unseen data

Visualizing data distribution

Reducing overfitting of the training data

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main advantage of using ensemble methods?

Faster computation time

Reduced training dataset size

Increased model interpretability

Improved model accuracy

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which measure of central tendency is least affected by outliers?

Mean

Median

Mode

Variance

Create a free account and access millions of resources

Create resources

Host any resource

Get auto-graded reports

Google

Continue with Google

Email

Continue with Email

Classlink

Continue with Classlink

Clever

Continue with Clever

or continue with

Microsoft

Microsoft

Apple

Apple

Others

Others

By signing up, you agree to our Terms of Service & Privacy Policy

Already have an account?