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Combining Rules with Models to Make Business Decisions in SAS Viya

This video shows how to combine models with rules and conditions to create and publish business decisions in SAS Visual Data Mining and Machine Learning on SAS Viya.

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5:06
Testing Business Decisions in SAS Viya
Testing Business Decisions in SAS Viya
5:58
Combining Rules with Models to Make Business Decisions in SAS Viya
Combining Rules with Models to Make Business Decisions in SAS Viya
5:40
Managing Models Trained in Model Studio
Managing Models Trained in Model Studio
6:43
Adding Custom Code in Model Studio
Adding Custom Code in Model Studio
6:49
Managing Variables in Model Studio
Managing Variables in Model Studio
9:24
The Save Data Node in Model Studio
The Save Data Node in Model Studio
10:23
Feature Engineering in Model Studio
Feature Engineering in Model Studio
5:24
The Variable Selection Node in Model Studio
The Variable Selection Node in Model Studio
10:35
Imputing Missing Values in Model Studio
Imputing Missing Values in Model Studio
6:51
Training Gradient Boosting Models in Model Studio
Training Gradient Boosting Models in Model Studio
7:50
Autotuning Gradient Boosting Models in Model Studio
Autotuning Gradient Boosting Models in Model Studio
5:33
Exploring Time Series Data in SAS Visual Forecasting
Exploring Time Series Data in SAS Visual Forecasting
4:40
Building and Using Pipelines in SAS Visual Forecasting
Building and Using Pipelines in SAS Visual Forecasting
4:07
Forecast Overrides Using Time Series Attributes in SAS Visual Forecasting
Forecast Overrides Using Time Series Attributes in SAS Visual Forecasting
5:20
Getting Started with Data Mining and Machine Learning Pipelines on SAS Viya
Getting Started with Data Mining and Machine Learning Pipelines on SAS Viya

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