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You are building a model and need input that represents data as morning, afternoon, or evening.
However, the data contains a time stamp. What part of the Data Science life cycle would you be in
when creating the new variable?
You have just received a new data set from a colleague. You want to quickly find out summary information about the data set, such as the types of features, total number of observations, and data distributions, Which Accelerated Data Science (ADS) SDK method from the AD&Dataset class would you use?
You loaded data into Oracle Cloud Infrastructure (OCI) Data Science. To transform the data, you
want to use the Accelerated Data Science (ADS) SDK. When you applied the get_recommendations ()
tool to the ADSDataset object, it showed you user-detected issues with all the recommended
changes to apply to the dataset. Which option should you use to apply all the recommended
transformations at once?
While reviewing your data, you discover that your data set has a class imbalance. You are aware
that the Accelerated Data Science (ADS) SDK provides multiple built-in automatic transformation
tools for data set transformation. Which would be the right tool to correct any imbalance between
the classes?
As a data scientist, you are tasked with creating a model training job that is expected to take
different hyperparameter values on every run. What is the most efficient way to set those
parameters with Oracle Data Science Jobs?
