This post-pandemic Propensity Model determines the probability that a US adult watches eSports Regularly. Lift over Random 2.24. This post-pandemic Propensity model is one of a series of consumer classification models based on data from over 17,000 US adults surveyed in 2021 from Prosper's US Media...
Model Package - Fulfilled on Amazon SageMaker
Pecan was designed to drive business value from AI. Sales and marketing teams use Pecan in order to create actionable AI-based predictions such as conversion, upsell/cross-sell, churn, LTV and others. The Pecan platform is an intuitive platform which doesn't require data-science expertise that...
Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer shops at a specific retailer. Based on a set of basic demographics, the model identifies individuals who are likely to shop at that retailer. The model was trained with data from Prosper's large...
Model Package - Fulfilled on Amazon SageMaker
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A logistic regression model for binary classification on sparse data set like LibSVM without translating the data set into other formats like recordIO. The algorithm scales efficiently across multi-cores on a single AWS EC2 Instance out of the box.
Algorithm - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult has Arthritis. Lift over Random 1.85. This post-pandemic Propensity model is one of a series of consumer classification models based on data from over 17,000 US adults surveyed in 2021 from Prosper's US Media Behaviors &...
Model Package - Fulfilled on Amazon SageMaker
End to End Solutions in AWS Delivering solutions for Time Series forecasting, classification, and other machine learning models. Developing tools to help deploy, monitor and manage complex models through AWS. Deploy machine learning models, including deep learning models, using the latest...
Patient no-shows for scheduled appointments is a significant challenge for healthcare providers. Patient no-shows leads to inefficient utilization of scarce healthcare resources and service quality risks. This solution predicts the likelihood of patient no-shows, based on patients’ appointment and...
Model Package - Fulfilled on Amazon SageMaker
A recommendation model using an alternating least squares factorization approach for implicit datasets.
Algorithm - Fulfilled on Amazon SageMaker
Our end-to-end solution, powered by AWS, unlocks the full potential of your SharePoint data. By harnessing the power of Amazon AppFlow, AWS Glue, Amazon S3, Amazon Athena, and Amazon QuickSight, we create a seamless data pipeline that turns raw information into valuable insights, empowering your...
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A Gradient Boosted Decision Tree for regression on sparse data set like LibSVM without translating the data set into other formats like recordIO. The algorithm scales efficiently across multi-cores on a single AWS EC2 Instance out of the box.
Algorithm - Fulfilled on Amazon SageMaker
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