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This follows the \"banking\" dataset example\ndescribed in the Developer Guide.  There are three versions available:\n\n* [Targeted Marketing with Machine Learning in Java](targeted-marketing-java/)\n* [Targeted Marketing with Machine Learning in Python](targeted-marketing-python/)\n* [Targeted Marketing with Machine Learning in Scala](targeted-marketing-scala/)\n\n\n## Social Media and Amazon Mechanical Turk\n\nThis sample application shows how to use Amazon Mechanical Turk to create a\nlabeled dataset from raw tweets, and then build a machine learning model\nusing the Amazon Machine Learning API that predicts whether or not new\ntweets should be acted upon by customer service.  The sample shows how to\nset up an automated filter using AWS Lambda that monitors tweets on an\nAmazon Kinesis stream and sends notifications whenever the ML Model\npredicts that a new tweet is actionable.  Notifications go to Amazon SNS,\nallowing delivery to email, SMS text messages, or other software services.\n\n* [Machine-Learning based Social Media Filtering (Python \u0026 JavaScript)](social-media/)\n\n\n## Mobile Prediction Samples\n\nThese samples show how to use the Amazon Machine Learning API to make\nreal-time predictions from a mobile device.  There are two versions available:\n\n* [Real-time Machine Learning Predictions from iOS](mobile-ios/)\n* [Real-time Machine Learning Predictions from Android](mobile-android/)\n\n\n## K-fold Cross-validation Sample\n\nThis sample shows how to use the Amazon Machine Learning API to evaluate ML models using k-fold cross-validation.\n\n* [K-fold Cross-validation Sample (Python)](k-fold-cross-validation/)\n\n\n## Other tools\n\nA collection of simple scripts to help with common tasks.\n\n* [Machine Learning Tools (python)](ml-tools-python/)\n\n\n## Support\n\nFor assistance with using the Amazon Machine Learning Service, or these samples, please see the [AWS Forums](https://forums.aws.amazon.com/forum.jspa?forumID=194\u0026start=0).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faws-samples%2Fmachine-learning-samples","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faws-samples%2Fmachine-learning-samples","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faws-samples%2Fmachine-learning-samples/lists"}