DP-100: Designing and Implementing a Data Science Solution on Azure

The lab instructions are here.

Contributions

At this time, we are not accepting external contributions to this repo. If you have suggestions or spot any errors, please report them as issues.

Name		Name	Last commit message	Last commit date
Latest commit History 81 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