Quiz-4 ML

Quiz-4 ML

Professional Development

20 Qs

quiz-placeholder

Similar activities

Data Science Course - Midterm Exam (2)

Data Science Course - Midterm Exam (2)

Professional Development

15 Qs

Play with Python Lib

Play with Python Lib

KG - Professional Development

25 Qs

Data Analysis: Introduction

Data Analysis: Introduction

Professional Development

15 Qs

BCS Systems & Architecture Quiz 1

BCS Systems & Architecture Quiz 1

University - Professional Development

20 Qs

1. Ayo Main Quiz

1. Ayo Main Quiz

University - Professional Development

16 Qs

tushal jadhav (host)

tushal jadhav (host)

Professional Development

15 Qs

Descriptive Statistics- Part 1

Descriptive Statistics- Part 1

Professional Development

20 Qs

General Knowledge quiz

General Knowledge quiz

Professional Development

19 Qs

Quiz-4 ML

Quiz-4 ML

Assessment

Quiz

Education

Professional Development

Hard

Created by

Priyanka B

Used 2+ times

FREE Resource

20 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is Machine Learning

The autonomous acquisition of knowledge through the use of computer programs

The autonomous acquisition of knowledge through the use of manual programs

The selective acquisition of knowledge through the use of computer programs

The selective acquisition of knowledge through the use of manual programs

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is data science?

The study of computers and their applications

The extraction of meaningful insights from data

The analysis of physical and biological processes

The study of algorithms and data structures

3.

FILL IN THE BLANK QUESTION

1 min • 1 pt

Which programming language is widely used in data science?

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the process of converting raw data into a usable format called?

Data visualization

Data preprocessing

Data modeling

Data analysis

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a supervised learning algorithm?

Linear regression

Decision tree

K-means clustering

Random forest

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of exploratory data analysis (EDA)?

To predict future outcomes

To summarize and visualize data

To remove outliers from the dataset

To transform categorical variables into numerical ones

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which evaluation metric is commonly used for classification problems?

Mean Squared Error (MSE)

R-squared (R^2)

Accuracy

Root Mean Squared Error (RMSE)

Create a free account and access millions of resources

Create resources
Host any resource
Get auto-graded reports
or continue with
Microsoft
Apple
Others
By signing up, you agree to our Terms of Service & Privacy Policy
Already have an account?