Predictive modeling tutorials
The tutorials in this section provide detailed examples of how you can build predictive
models and integrate them into your decisions.
Some of the tutorials provide instructions for using samples that are available in Decision Intelligence:
| Tutorial | Provides instructions to use |
|---|---|
| Using machine learning to make better decisions | Machine learning complete tutorial - Loan approval |
| Quick guide: Integrating Watson Machine Learning with decision services | Machine learning short tutorial - Loan approval |
| Quick guide: Using the embedded machine learning provider | Machine learning quick tutorial - Loan approval |
| Using machine learning to reduce customer churn | Machine learning sample - Customer loyalty |
These samples can be imported from the New decision service wizard. For more information about importing samples, see Building decision services.
Setting up Industry samples
Decision Intelligence also includes two industry-specific
samples: Banking and Telecom. When importing these
samples, a warning appears. You can acknowledge the warning and manually configure the predictive
models by following the instructions in Quick guide: Using the embedded machine learning provider.
| Sample | PMML file |
|---|---|
| Banking | Use the ML-Sample-Classifier-StandardScaler-pmml.xml file to configure the Loan risk score model available in the Approval with ML decision service. |
| Telecom |
|