On Oracle AI Database 26ai Free VM Real Example of OML4SQL Regression Arabic

This presentation demonstrates a practical Oracle Machine Learning for SQL (OML4SQL) regression workflow running on Oracle AI Database 26ai Free VM, a preconfigured environment that includes Oracle AI Database, Oracle APEX, ORDS, and SQLcl for hands-on development and analytics. In OML4SQL, regression is a supervised learning technique used to predict a continuous numeric value from historical data, and Oracle supports building, evaluating, and deploying these models directly inside the database using SQL and PL/SQL.

The session follows a complete end-to-end example: preparing and exploring the dataset, splitting data into training and test sets, creating the regression model, reviewing dictionary views, computing evaluation metrics, and finally scoring new or held-out data. This in-database approach is valuable because it keeps the data, model building, and scoring in one platform, which reduces data movement and makes machine learning easier to operationalize in enterprise Oracle environments.

A real estate agent approaches you, a data scientist, to provide assistance in evaluating house prices in Boston. The agent requires this information on a daily basis to provide targeted services to clients. Using the Generalized Linear Model algorithm for Regression, you estimate the median value of owner-occupied homes in the Boston area.

Видео On Oracle AI Database 26ai Free VM Real Example of OML4SQL Regression Arabic канала Ahmed Youssri