From 8e4be6572dd747ef8ec5a6f2ddd95ebcdbc4eabc Mon Sep 17 00:00:00 2001 From: Ben Lackey Date: Mon, 18 Jul 2022 12:39:49 -0700 Subject: [PATCH] update table of contents for graph embedding notebook --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 14d69da747..dedb512466 100644 --- a/README.md +++ b/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](sagemaker-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