Redshift ML simple CREATE MODEL
Redshift ML simple CREATE MODEL is a feature in Amazon Redshift that allows users to create machine learning models using SQL commands, without the need for specialized skills or software. It simplifies the process of creating and deploying machine learning models by allowing users to use familiar SQL syntax to define the model structure and input data, and then automatically generates and trains the model using Amazon SageMaker. This feature can be used for a variety of machine learning tasks, including regression, classification, and clustering.
Before we dive into building the first ML model, let us set the stage by defining a problem statement that will form the basis of our model-building solution.
We are going to use a customer sales dataset to build the first machine learning model. Business leaders at the fictitious ABC Company are grappling with dwindling sales. The data team at ABC Company has performed descriptive and diagnostic analytics...
