Creating multi-input regression models
In this exercise, you will learn how to build a regression model using multiple input variables in Amazon Redshift ML.
In this use case, we will use a dataset containing the sales history of online sporting events. A sporting event management company wants to review the data for the latest football and baseball seasons to figure out which games underperformed for revenue, and what the revenue projections look like for the season.
Your task is to build and train a model to predict revenue for upcoming events in order to proactively take action to increase ticket sales to ensure revenue numbers meet the company’s targets.
After successfully connecting to Redshift as an admin or database developer, load data into Amazon Redshift.
Navigate to Redshift query editor v2 and connect to the Serverless endpoint and the dev database.
Use the same schema and query editor page you created for the previous exercise.
Create your input...
