From 6d555990ef99f964240cc63aef476de3dc0747a9 Mon Sep 17 00:00:00 2001 From: Amagash Date: Mon, 30 Aug 2021 17:33:54 +0200 Subject: [PATCH] [Lesson 18] Add assignment --- 5-Data-Science-In-Cloud/18-tbd/assignment.md | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/5-Data-Science-In-Cloud/18-tbd/assignment.md b/5-Data-Science-In-Cloud/18-tbd/assignment.md index b7af6412..9dbc5a2a 100644 --- a/5-Data-Science-In-Cloud/18-tbd/assignment.md +++ b/5-Data-Science-In-Cloud/18-tbd/assignment.md @@ -1,8 +1,11 @@ -# Title +# [Low code/No code] The Heart Failure Prediction Project ## Instructions +We saw how to use the Azure ML platform to train, deploy and consume a model in a Low code/No code fashion. Now look around for some data that you could use to train an other model, deploy it and consume it. You can look for datasets on [Kaggle](https://kaggle.com) and [Azure Open Datasets](https://azure.microsoft.com/en-us/services/open-datasets/catalog/?WT.mc_id=academic-15963-cxa). + ## Rubric -Exemplary | Adequate | Needs Improvement ---- | --- | -- | +| Exemplary | Adequate | Needs Improvement | +|-----------|----------|-------------------| +|When uploading the data you took care of changing the feature's type if necessary. You also cleaned the data if needed. You ran a training on a dataset through AutoML, and you checked the model explanations. You deployed the best model and you were able to consume it. | When uploading the data you took care of changing the feature's type if necessary. You ran a training on a dataset through AutoML, you deployed the best model and you were able to consume it. | You have deployed the best model trained by AutoML and you were able to consume it. |