Merge pull request #179047 from jdmartinez36/mergefix11-8

11-8-2021 merge conflict: Fixed bookmarks

Author: jdmartinez36

articles/cognitive-services/language-service/custom-classification/how-to/call-api.md

@@ -25,7 +25,7 @@ After you're satisfied with your model, and made any necessary improvements, you
 * Reviewed the [model evaluation details](view-model-evaluation.md) to determine how your model is performing.
 * (optional) [Made improvements](improve-model.md) to your model if its performance isn't satisfactory. 
 
-See the [application development lifecycle](../overview.md#application-development-lifecycle) for more information.
+See the [application development lifecycle](../overview.md#project-development-lifecycle) for more information.
 
 ## Deploy your model
 

articles/cognitive-services/language-service/custom-classification/how-to/design-schema.md

@@ -15,7 +15,7 @@ ms.custom: language-service-custom-classification, ignite-fall-2021
 
 # How to prepare data and define a schema
 
-In order to create a custom classification model, you will need quality data to train it. This article covers how you should approach selecting and preparing your data, along with defining a schema. A schema defines the classes that you need your model to classify your text into at runtime, and is the first step of [developing a custom classification application](../overview.md#application-development-lifecycle).
+In order to create a custom classification model, you will need quality data to train it. This article covers how you should approach selecting and preparing your data, along with defining a schema. A schema defines the classes that you need your model to classify your text into at runtime, and is the first step of [developing a custom classification application](../overview.md#project-development-lifecycle).
 
 
 ## Data selection

articles/cognitive-services/language-service/custom-classification/how-to/improve-model.md

@@ -27,7 +27,7 @@ To optionally improve a model, you will need to have:
 * Reviewed the [model evaluation details](view-model-evaluation.md) to determine how your model is performing.
 * Familiarized yourself with the [evaluation metrics](../concepts/evaluation.md) used for evaluation
 
-See the [application development lifecycle](../overview.md#application-development-lifecycle) for more information.
+See the [application development lifecycle](../overview.md#project-development-lifecycle) for more information.
 
 ## Review test set predictions
 

articles/cognitive-services/language-service/custom-classification/how-to/tag-data.md

@@ -23,7 +23,7 @@ Before you can tag data, you need:
 * [A successfully created project](create-project.md) with a configured Azure blob storage account, 
 * Text data that has [been uploaded](create-project.md#prepare-training-data) to your storage account.
 
-See the [application development lifecycle](../overview.md#application-development-lifecycle) for more information.
+See the [application development lifecycle](../overview.md#project-development-lifecycle) for more information.
 
 <!--Tagging your data will let you [train your model](train-model.md), [evaluate it](train-model.md), and use it to [classify text](call-api.md).-->
 

articles/cognitive-services/language-service/custom-classification/how-to/train-model.md

@@ -26,7 +26,7 @@ Before you train your model you need:
 * Text data that has [been uploaded](create-project.md#prepare-training-data) to your storage account.
 * [Tagged data](tag-data.md)
 
-See the [application development lifecycle](../overview.md#application-development-lifecycle) for more information.
+See the [application development lifecycle](../overview.md#project-development-lifecycle) for more information.
 
 ## Data splits
 

articles/cognitive-services/language-service/custom-classification/how-to/view-model-evaluation.md

@@ -26,7 +26,7 @@ Before you train your model you need:
 * [Tagged data](tag-data.md)
 * A successfully [trained model](train-model.md)
 
-See the [application development lifecycle](../overview.md#application-development-lifecycle) for more information.
+See the [application development lifecycle](../overview.md#project-development-lifecycle) for more information.
 
 ## Model evaluation