In this tutorial, you'll learn how to train and apply a machine learning model using data flows in Oracle Analytics Cloud. By using built-in machine learning capabilities, you can create predictive models without writing code, helping you identify trends and make more informed business decisions using your existing data.
In this video tutorial, you'll learn how to:
- Create a data flow to prepare historical data for machine learning model training.
- Configure and train a binary classification model to predict employee attrition.
- Evaluate model quality and performance using Oracle Analytics Cloud machine learning tools.
- Apply a trained model to a new dataset to generate predictions and confidence scores.
- Map input fields and save prediction results as a new dataset.
- Build a workbook to analyze predicted attrition and identify employees at risk.
By combining data flows with built-in machine learning, Oracle Analytics Cloud makes it easy to build and operationalize predictive models without requiring advanced data science expertise. Watch the full tutorial to learn the complete workflow.
For more details on data flows and machine learning resources, check out Oracle Analytics Cloud documentation in the Oracle Help Center.
To build your foundational data flow skills and explore advanced analytics techniques, take the Data Flows in Oracle Analytics Cloud and Fusion Data Intelligence (for Authors) course in the Oracle Analytics Learning Hub.
