prepare release

doc/changes/changes_1.0.0.md

@@ -1,14 +1,24 @@
-# data-science-examples 1.0.0, released 2020-XX-XX
+# data-science-examples 1.0.0, released 2023-10-16
+
+First release of this collection of examples for Integrating the Exasol Database with datascience
+focused applications and packages.
 
 ## Features / Enhancements
 
-* # 21: Added an example for connecting from AWS Sagemaker to an Exasol database
-* # 23: Added an example for training a Sagemaker model with data from Exasol
-* # 25: Added an example for using a Sagemaker model from within Exasol
-* # 34: Added an example for loading example data into the Exasol database 
-* # 43: Updated to Python3.8 minimal flavor in script-languages tutorial
+* #6: Added Tensorflow GPU UDF preview
+* #8: Added SciKit-learn classification Example
+* #21: Added an example for connecting from AWS Sagemaker to an Exasol database
+* #23: Added an example for training a Sagemaker model with data from Exasol
+* #25: Added an example for using a Sagemaker model from within Exasol
+* #29: Add script-languages build and customization tutorial 
+* #34: Added an example for loading example data into the Exasol database 
+* #35: Added tutorial for Sagemaker-Extension
+* #43: Updated to Python3.8 minimal flavor in script-languages tutorial
+* #45: Added error_code_config
+* #39-#48: Added tutorial Series for Connection to AzureML
 
 ## Bugs
 
-* # 53: Fixed error_code_config.yaml
+* #53: Fixed error_code_config.yaml
+* #38: Fix typo
 

tutorials/README.md

@@ -9,8 +9,10 @@ For general prerequisites, please refer to [Prerequisites](../README.md).
 
 * [Machine Learning](machine-learning)
   * [Python](machine-learning/python):
+    * [AzureML](machine-learning/python/AzureML/Introduction.ipynb)
     * [Scikit-learn](machine-learning/python/scikit-learn)
     * [Sagemaker](machine-learning/python/sagemaker) Using AWS sagemaker for machine learning with Exasol
+  * [SageMaker Extension](machine-learning/sagemaker-extension)
 * [Script-Language Container](script-languages)
 * [Spatial Analysis](spatial-analysis)
   * [Visualizing Spatial Queries](spatial-analysis/visualizing_spatial_queries)

tutorials/machine-learning/README.md

@@ -1,8 +1,6 @@
 ## Machine Learning Tutorials
 This section contains tutorials for doing Machine Learning within the Exasol database. We are going to provide examples for different languages and frameworks, tasks and use cases.
 
-**Currently, this repository is under development and we will add more and more frameworks and tutorials in the future.**
-
 ### Languages:
 
 * [Python](python)

tutorials/machine-learning/python/README.md

@@ -1,7 +1,17 @@
 ## Python Tutorials
 This section contains tutorials with the Python Programming Language. We are going to provide examples for different frameworks, tasks and use cases.
 
-**Currently, this repository is under development and we will add more and more frameworks and tutorials in the future.**
+### AzureML:
+[AzureML](https://azure.microsoft.com/de-de/products/machine-learning) is a Microsoft service for the Machine 
+learning lifecycle in Azure.
+
+This tutorial will show you:
+
+* [A general introduction to the topic](AzureML/Introduction.ipynb), we recommend you start here
+* [How to connect AzureML to Exasol](AzureML/ConnectAzureMLtoExasol.ipynb)
+* [How to Train a model using data from Exasol](AzureML/TrainModelInAzureML.ipynb)
+* [How to Invoke the trained model from an Exasol UDF](AzureML/InvokeModelFromExasolDBwithUDF.ipynb)
+
 
 ### Frameworks:
 

tutorials/spatial-analysis/README.md

@@ -1,8 +1,6 @@
 ## Spatial Analysis Tutorials
 This section contains tutorials for doing Spatial Analysis within the Exasol database. We are going to provide examples, tasks and use cases.
 
-**Currently, this repository is under development and we will add more and more frameworks and tutorials in the future.**
-
 ### Languages:
 
 * [Visualizing Spatial Queries](visualizing_spatial_queries)