Skip to content
/ DP100 Public
forked from TheJamesHerring/DP100

Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure

License

MIT license
0 stars 691 forks Branches Tags Activity
Star
Notifications You must be signed in to change notification settings

Harikantipudi/DP100

BranchesTags
 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

137 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
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 

Repository files navigation

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

Important Notice!

This repo was replaced by a new repo on December 12th 2020. The corresponding courseware was also updated at this time. We're making this change to:

  • Consolidate the labs used in the DP-100 instructor-led course and the self-paced exercises in the equivalent online modules on Microsoft Learn.
  • Update labs to reflect recent changes in the Azure Machine Learning service and SDK.
  • Add new labs on topics related to responsible machine learning.

After a short interval, this repo will be archived.

This repo contains the lab files for Microsoft course DP-100T01-A: 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.

About

Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure

Resources

Readme

License

MIT license
Activity

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 99.0%
  • Dockerfile 1.0%