Answer all questions

$1.$ Effective use of PCA requires one to choose which of the following?Group of answer choices

A$.$ ValuesB. FeaturesC. DimensionsD. Intervals

$2..$ Which of the following are types of unsupervised discretisation?Group of answer choices

A$.$Equal width binning

B$.$Equal frequency binning

C$.$ Equal interval binning

D$.$ Binning by clustering

$3.$Which methods can be used to source primary data?Group of answer choices

A$.$ Survey method B$.$ Experimental method C$.$ Research method D$.$ Observation method

$4..$ In PCA, processing will be faster when the number of $\_\_\_\_\_\_\_\_\_\_$ is less.Group of answer choices

A$.$Features B$.$ Dimensions C$.$ Values

D$.$ Intervals

$5.$ Commonly, across analytics projects the activities start with $\_\_\_\_\_\_\_\_\_\_$ the data.Group of answer choices

A$.$ Cleaning B$.$ Sourcing C$.$ Transforming

D$.$ Integrating

$6.$ In ordinal data encoding, each unique category is assigned $\_\_\_\_\_\_\_\_\_\_$ value.Group of answer choicesA.An integer

B$.$ A binary

C$.$ A decimal

D$.$ A fractional

$7.$ Which of the following options represent the essence of data transformation?Group of answer choices

A$.$ The original meaning of data should not change

B$.$ Data is always transformed to numerical values

C$.$ Data should be presented to the model in the same way it is collected

D$.$ Data is always transformed to decimal values

$8.$ Which approaches are used to handle missing data?Group of answer choice

A$.$ Replacement

B$.$ Removal

C$.$ Special coding

D$.$ Imputation

$9.$ What's the first step in data cleaning?Group of answer choices

A$.$ Identify duplicate rows of data and remove them

B$.$ Mark empty values as missing

C$.$ Use statistics to identify outliers

D$.$ Remove columns that have the same value

$10.$ Which of the following dimensions are used judge the quality of data?Group of answer choices

A$.$ Completeness

B$.$ Precision

C$.$ Timeliness

D$.$ Accuracy