Data Sciences Quiz

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Data Sciences

Data Sciences Quiz

1 / 25

Which command allows you to update the repository ;-

Update

Pop

Push

2 / 25

Positive residuals are below the line , negative residuals are above ;-

True

False

3 / 25

Which is not a technique used to handle missing data in a data set :-

Data imputation

Data augmentation

Data transformation

4 / 25

Arrangement of attributes into hierarchical are called :-

Simply attribute

Simple value attribute

Composition attribute

5 / 25

Identify the incorrect numerical functions in the various functions representations of machine learning :-

case based

Linear regression

Support vector machines

6 / 25

Data visualization is the organization of information according to preset specifications:-

True

False

7 / 25

The most significant phase in genetic algorithm is :-

Mutation

Selection

Crossover

8 / 25

Which clustering technique requires a merging approach :-

Prtitional

Naive Bayes

Hierarchical

9 / 25

Which tool documentation language is supported by Knitr :-

RMarkdown

LaTex

HTML

10 / 25

Which is not the type of relationship ;-

none of them

one to one

one to many

11 / 25

What is the acronym of PEAS :-

Sensors

Environment

Actuator

all of them

Performance measure

12 / 25

A column is dived into one row is called ;-

Relationship

Field

Entities

13 / 25

Which is performed by Data scientist :-

Define the question

Create the reproducible code

all of them

14 / 25

Which of the following plots are often used for checking randomness in time series ;-

Autorank

Autocausation

Autocorrelation

15 / 25

Which supervised learning algorithms is utilized in data science for classification tasks :-

Hierarchical Clustering

K means

Random Forest

16 / 25

Which system is often don't have postscript viewer;-

Windows

Mac

Linux

17 / 25

R can not approximate quantiles for you for common distribution;-

True

False

18 / 25

What does data science used to translate category data into numerical values :-

Data transformation

Data preprocessing

Data visualization

19 / 25

Student name their roll number, address , father name are an example of ;-

Occurrences

Entities

Attributes

20 / 25

Exploratory analysis alone should not be used for predicting :-

True

False

21 / 25

The types of machine learning are ;-

Unsupervised learning

all of them

Reinforcements learning

Supervised learning

22 / 25

Which of the intricate techniques is not used for data visulaization;-

Bullet Graphs

Fever Maps

Bubble clouds

23 / 25

Which plots are used to check if a data set is random;-

Lead

Lag

Random

24 / 25

Only one time raw data can be processed ;-

True

False

25 / 25

Which is a typical algorithm used for dat science regression tasks ;-

Decision tree

Logistic Regression

K means

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