pull base content,head:MicrosoftDocs:main,into:wwlpublishsync

Author: wwlpublish

.openpublishing.redirection.json

@@ -48707,6 +48707,56 @@
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 }

learn-pr/achievements.yml

@@ -5805,3 +5805,33 @@ achievements:
   title: Design a hybrid network architecture on Azure
   summary: You have a traditional on-premises infrastructure that you need to connect to resources in Azure. In this module, you learn how to select a connectivity method for your use cases that balances functionality, cost, and security.
   iconUrl: /training/achievements/design-a-hybrid-network-architecture.svg
+- uid: learn.machine-learning.introduction-clustering-models.badge
+  type: badge
+  title: Introduction to clustering models by using R and tidymodels
+  summary: Get an introduction to clustering models. Clustering is the process of grouping objects with similar objects.
+  iconUrl: /training/achievements/machine-learning/introduction-clustering-models.svg
+- uid: learn.machine-learning.introduction-regression-models.badge
+  type: badge
+  title: Introduction to regression models by using R and tidymodels
+  summary: Get an introduction to regression models. In machine learning, the goal of regression is to create a model that can predict a numeric, quantifiable value.
+  iconUrl: /training/achievements/machine-learning/introduction-regression-models.svg
+- uid: learn.machine-learning.introduction-classification-models.badge
+  type: badge
+  title: Introduction to classification models by using R and tidymodels
+  summary: Classification is a form of machine learning in which you train a classification model to predict which category an item belongs to. In this module, you learn how to use the R programming language and tidymodels framework to train classification models.
+  iconUrl: /training/achievements/machine-learning/introduction-classification-models.svg
+- uid: learn.machine-learning.machine-learning-with-r.trophy
+  type: trophy
+  title: Create machine learning models with R and tidymodels
+  summary: Learn how to explore and analyze data by using R. Get an introduction to regression models, classification models, and clustering models by using tidymodels and R.
+  iconUrl: /training/achievements/machine-learning/machine-learning-with-r.svg
+- uid: learn.machine-learning.explore-analyze-data-r.badge
+  type: badge
+  title: Explore and analyze data with R
+  summary: In this module, you explore, analyze, and visualize data by using the R programming language.
+  iconUrl: /training/achievements/machine-learning/explore-analyze-data-r.svg
+- uid: learn.advocates.cv-classify-bird-species.badge
+  type: badge
+  title: Classify endangered bird species with Custom Vision
+  summary: As an ornithologist, you study the behavior, physiology, and conservation of birds and bird habitat. Your work often involves surveying, recording, and reporting on bird activity. You want to build a machine learning model that will identify a bird in an image by species, to help with gathering data. In this module, you use Azure AI Custom Vision to create a model to identify species of birds!
+  iconUrl: /training/achievements/advocates/cv-classify-bird-species.svg