Starting with a dataset that has details about loan default data inAmazon Simple Storage Service(Amazon S3), we use SageMaker Canvas to gain insights about the data. We then perform feature engineering to apply transformations such as encoding categoric...
We then perform feature engineering to apply transformations such as encoding categorical features, dropping features that are not needed, and more. Next, we store the cleansed data back in Amazon S3. We use the cleaned dataset to create a classifi...
Of course, public executives are well aware of this, but they do not always have the toolkit to implement practical strategic analysis. But, practicality is not enough. Public executives and public strategic analysts must also take public value, and social efficiency specifically, seriously. Unless...