machine-learning-samples - Sample applications built using AWS' Amazon Machine Learning.
Each subdirectory contains sample code for using Amazon Machine Learning. Refer to the README.md file in each sub-directory for details on using each sample. This sample application shows how to use Amazon Mechanical Turk to create a labeled dataset from raw tweets, and then build a machine learning model using the Amazon Machine Learning API that predicts whether or not new tweets should be acted upon by customer service. The sample shows how to set up an automated filter using AWS Lambda that monitors tweets on an Amazon Kinesis stream and sends notifications whenever the ML Model predicts that a new tweet is actionable. Notifications go to Amazon SNS, allowing delivery to email, SMS text messages, or other software services.