Merge remote-tracking branch 'aws/main' into trcomp-pt111-snmg

LICENSE.txt

@@ -200,3 +200,21 @@
    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    See the License for the specific language governing permissions and
    limitations under the License.
+
+   ======================================================================================
+    Amazon SageMaker Examples Subcomponents:
+
+    The Amazon SageMaker Examples project contains subcomponents with separate
+    copyright notices and license terms. Your use of the source code for the
+    these subcomponents is subject to the terms and conditions of the following
+    licenses. See licenses/ for text of these licenses.
+
+    If a folder hierarchy is listed as subcomponent, separate listings of
+    further subcomponents (files or folder hierarchies) part of the hierarchy
+    take precedence.
+
+    =======================================================================================
+    2-clause BSD license
+    =======================================================================================
+    _static/kendrasearchtools.js
+    _templates/search.html

README.md

@@ -75,6 +75,7 @@ These examples introduce SageMaker Autopilot. Autopilot automatically performs f
 - [Customer Churn AutoML](autopilot/) shows how to use SageMaker Autopilot to automatically train a model for the [Predicting Customer Churn](introduction_to_applying_machine_learning/xgboost_customer_churn) task.
 - [Targeted Direct Marketing AutoML](autopilot/) shows how to use SageMaker Autopilot to automatically train a model.
 - [Housing Prices AutoML](sagemaker-autopilot/housing_prices) shows how to use SageMaker Autopilot for a linear regression problem (predict housing prices).
+- [Portfolio Churn Prediction with Amazon SageMaker Autopilot and Neo4j](autopilot/sagemaker_autopilot_neo4j_portfolio_churn.ipynb) shows how to use SageMaker Autopilot with graph embeddings to predict investment portfolio churn.
 
 ### Introduction to Amazon Algorithms