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retkowsky/DP-100

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.devcontainer
.devcontainer
 
 
.vscode
.vscode
 
 
data
data
 
 
labdocs
labdocs
 
 
01B - Intro to the Azure ML SDK.ipynb
01B - Intro to the Azure ML SDK.ipynb
 
 
02B - Using the Visual Designer.ipynb
02B - Using the Visual Designer.ipynb
 
 
03A - Running Experiments.ipynb
03A - Running Experiments.ipynb
 
 
03B - Training Models.ipynb
03B - Training Models.ipynb
 
 
04A - Working with Datastores.ipynb
04A - Working with Datastores.ipynb
 
 
04B - Working with Datasets.ipynb
04B - Working with Datasets.ipynb
 
 
05A - Working with Environments.ipynb
05A - Working with Environments.ipynb
 
 
05B - Working with Compute Targets.ipynb
05B - Working with Compute Targets.ipynb
 
 
06A - Creating a Pipeline.ipynb
06A - Creating a Pipeline.ipynb
 
 
06B - Publishing a Pipeline.ipynb
06B - Publishing a Pipeline.ipynb
 
 
07A - Creating a Real-time Inferencing Service.ipynb
07A - Creating a Real-time Inferencing Service.ipynb
 
 
07B - Creating a Batch Inferencing Service.ipynb
07B - Creating a Batch Inferencing Service.ipynb
 
 
08A - Tuning Hyperparameters.ipynb
08A - Tuning Hyperparameters.ipynb
 
 
08B - Using Automated Machine Learning.ipynb
08B - Using Automated Machine Learning.ipynb
 
 
09A - Reviewing Automated Machine Learning Explanations.ipynb
09A - Reviewing Automated Machine Learning Explanations.ipynb
 
 
09B - Interpreting Models.ipynb
09B - Interpreting Models.ipynb
 
 
10A - Monitoring a Model.ipynb
10A - Monitoring a Model.ipynb
 
 
10B - Monitoring Data Drift.ipynb
10B - Monitoring Data Drift.ipynb
 
 
README.md
README.md
 
 

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DP-100

This repo contains the lab files for course DP-100: Designing and Implementing an Azure Data Science Solution.

The lab instructions are here.

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