Add SageMaker Autopilot and Neo4j portfolio churn notebook. (aws#3505)

* Add SageMaker Autopilot and Neo4j portfolio churn notebook.

* update table of contents for graph embedding notebook

* correct link

* newline

* note on edgar, s3

* notes on ASG

* url anonymized

* spelling

* use s3

* spelling

* name for link

* comment drop

* formatting

* 20 minutes

* more descriptive va name

* branding issues

* remove extra comment

* note on validation

* conclusion

* no more '

* brackets on URL

* black-nb -l 100 sagemaker_autopilot_neo4j_portfolio_churn.ipynb

* incorporate Julia changes to downloadNotebook function

* performance issue

* working with large notebook

* clear outputs.  run linter one more time

* typo

* render link

* format

* remove link

* insert link

* no dash

* fiddling w link

* maybe it's a bad character escape?

* AutoPilot caps

* camel case SageMaker

* bucket specfics

* Bump version to 4.4.9 from 4.4.8

* add stack name, disk size

* add note per Aramide on stack delete.

* note

* typos

Co-authored-by: Julia Kroll <[email protected]>

Author: benofben

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
 

autopilot/index.rst

@@ -8,6 +8,7 @@ Get started with Autopilot
 
    sagemaker_autopilot_direct_marketing
    sagemaker_autopilot_abalone_parquet_input
+   sagemaker_autopilot_neo4j_portfolio_churn
 
 
 Feature selection