Data Science, Machine Learning, Extrapolation, Regression, IBM.
previous two because this case has many numeric features and only 2 categorical encoded features. Similar to the previous two use cases, the feature transformations include standardizing the numeric features and One Hot encoding the categorical features. Important features vary slightly across