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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Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
.devcontainer		.devcontainer
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