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Multiple Choice
A) stakeholder
B) impacted unit
C) root-cause analysis
D) timeline
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Multiple Choice
A) model deployment
B) model and results communication
C) business problem understanding
D) data preparation and feature selection
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A) data understanding and collection
B) model development
C) model evaluation and interpretation
D) data preparation and feature selection
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Multiple Choice
A) assess how well the algorithm developed using the training dataset estimates the target variable.
B) evaluate the final selected algorithm and see how well it performs on a third dataset.
C) "learn" the relationship between the predictors and the target variable.
D) select the model that most accurately predicts the target value of interest.
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True/False
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A) The project should be trackable and the outcomes measurable.
B) The project should solve the analytics problem and align with the business objectives.
C) The project should be completed in a timely manner.
D) The project's goals should be specific and clearly defined.
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True/False
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Multiple Choice
A) consumer complaints regarding government's financial products and services
B) population, economy, housing, and geography
C) demographic characteristics such as gender, ethnicity, and citizenship
D) fruit and vegetable prices for over 153 commonly consumed products
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A) a target variable
B) a dependent variable
C) an outcome variable
D) an independent variable
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Multiple Choice
A) Descriptive analytics predicts new needs and opportunities, whereas predictive analysis reinforces existing beneficial practices.
B) Descriptive analytics mimics human-like intelligence, whereas predictive analytics identifies the best optimal decision.
C) Descriptive analytics can identify patterns in data, whereas predictive analytics can recognize objects from an image.
D) Descriptive analytics uses data to explain the past, whereas predictive analytics uses data to explain the future.
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True/False
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