From 9d68438e03f7898d6b3f1cd423c563c046c3f78e Mon Sep 17 00:00:00 2001 From: Jen Looper Date: Wed, 29 Sep 2021 18:19:56 -0400 Subject: [PATCH] Update README.md --- 5-Data-Science-In-Cloud/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/5-Data-Science-In-Cloud/README.md b/5-Data-Science-In-Cloud/README.md index daffc5b..6df5f5d 100644 --- a/5-Data-Science-In-Cloud/README.md +++ b/5-Data-Science-In-Cloud/README.md @@ -6,7 +6,7 @@ When it comes to doing data science with big data, the cloud can be a game changer. In the next three lessons, we are going to see what the cloud is and why it can be very helpful. We are also going to explore a heart failure dataset and build a model to help assess the probability of someone having a heart failure. We will use the power of the cloud to train, deploy and consume a model in two different ways. One way using only the user interface in a Low code/No code fashion, the other way using the Azure Machine Learning Software Developer Kit (Azure ML SDK). -![project-schema](19-Azure/img/project-schema.PNG) +![project-schema](19-Azure/images/project-schema.PNG) ### Topics