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Data Science
Data Sciences Lifecycle
Stages: collection, cleaning, exploration, modelling, evaluation, deployment.
Sample Practice Questions
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1
Easy
The stage where missing values and outliers are handled is:
AData Collection
BData Cleaning
CModelling
DDeployment
2
Medium
Splitting the data into training and testing sets happens in:
AData Collection
BData Cleaning
CModelling
DVisualisation
3
Easy
Which step comes after model evaluation in a typical pipeline?
AData Collection
BData Cleaning
CDeployment
DProblem Definition
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