Machine learning regression models generate predictions based on the relationship between a dependent variable and one or more independent variables. Some examples of regression analysis include predicting sales during different seasons, predicting purchasing behavior on a website based on the characteristics of website visitors, and predicting the sale price of residences based on their size.

The following tasks use a dataset generated by OCI GenAI using Meta Llama Models. The regression use-case is to predict house prices based on the size of the house, the address of the house, and the state the house is located in.

To generate your own datasets to create machine learning models in MySQL HeatWave, learn how to Generate Text-Based Content.