awslabs / predictive-segmentation-using-amazon-pinpoint-and-amazon-sagemaker
This solution combines Amazon Pinpoint with Amazon SageMaker to help automate the process of collecting customer data, predicting customer churn using ML, and maintaining a tailored audience segment for messaging.
☆17Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for predictive-segmentation-using-amazon-pinpoint-and-amazon-sagemaker
- Learn how to build an end-to-end streaming architecture to ingest, analyze, and visualize streaming data in near real-time☆34Updated 2 years ago
- A Personalized 'Shop-by-Style' Experience via PyTorch on Amazon SageMaker and Amazon Neptune☆24Updated 3 years ago
- A project template for developing BYOD docker images for use in Amazon SageMaker.☆19Updated 4 years ago
- Design pattern for orchestrating an incremental data ingestion pipeline using AWS Step Functions from an on premise location into an Amaz…☆28Updated 5 years ago
- ☆30Updated last year
- The objective of Cloud Builders' Day repository is to provide do-it-yourself lab guides for several AWS services including but not limite…☆11Updated 4 years ago
- A serverless framework for continuous machine learning pipeline automation☆14Updated 4 years ago
- ☆13Updated 3 months ago
- Serverless Datalake architecture☆12Updated last year
- A self-paced workshop designed to allow you to get hands on with building a real-time data platform using serverless technologies such as…☆22Updated 5 years ago
- Open innovation with 60 minute cloud experiments on AWS☆88Updated 6 months ago
- As customers move from building data lakes and analytics on AWS to building machine learning solutions, one of their biggest challenges i…☆61Updated 5 years ago
- ☆31Updated 8 months ago
- Collection of Cloud Formation Templates, Lambda Scripts and sample code required to provision an AWS Data Lake for a ReInvent Lab Exercis…☆26Updated 5 years ago
- Source code for the post, 'Getting Started with Data Analysis on AWS, using S3, Glue, Amazon Athena, and QuickSight'☆28Updated 3 years ago
- ☆26Updated 3 months ago
- Samples and documentation for various advertising and marketing use cases on AWS.☆35Updated last year
- ☆14Updated 3 years ago
- Build and automatize the management of your Sagemaker Studio Users using AWS CDK!☆21Updated 2 years ago
- AWS Workshop tutorial for building applications with Amazon AI Services☆31Updated 2 years ago
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆22Updated 4 years ago
- Operational Data Processing Framework developed using AWS Glue and Apache Hudi. This framework is suitable for Data Lake and Modern Data …☆21Updated last year
- Sample data conversion pipeline for importing data into Amazon Personalize.☆19Updated 5 years ago
- This repository contains ready-to-use notebook examples for a wide variety of use cases in Amazon EMR Studio.☆48Updated last year
- This solution helps you deploy ETL jobs on data lake using CDK Pipelines.☆67Updated 2 years ago
- Distributed training using Kubeflow on Amazon EKS☆82Updated last month
- Bring your own data Labs: Build a serverless data pipeline based on your own data☆42Updated last year
- CloudFormation templates and scripts demonstrating how to build a promotion recommendation system using Kinesis and SageMaker.☆28Updated 6 years ago
- ☆66Updated 5 months ago