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pipelines/samples/employee-attrition/README.md

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1. Evaluate the models, choose the best model based on Area Under Curve (AUC) metric and deploy the best model
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## How to use
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Open the [employee-attrition-pipeline-ads.ipynb](/workspaces/oci-data-science-ai-samples/pipelines/samples/employee-attrition/employee-attrition-pipeline-ads.ipynb) notebook and run it.
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Open the [employee-attrition-pipeline-ads.ipynb](./employee-attrition-pipeline-ads.ipynb) notebook and run it.
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Make sure you define the permissions in your tenancy properly.
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pipelines/samples/simple/README.md

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This is a very simple sample with 3 consecutive steps, each passes data to the next step for additional processing.
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# How to use this sample:
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Open the [mlpipeline_sample-ads.ipynb](/workspaces/oci-data-science-ai-samples/pipelines/samples/simple/mlpipeline_sample-ads.ipynb) notebook and run all cells.
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Open the [mlpipeline_sample-ads.ipynb](./mlpipeline_sample-ads.ipynb) notebook and run all cells.

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