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Clustering-Structured (4 results) showing 1 - 4



Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer plans to buy Flowers for Valentine’s Day. Based on a set of basic demographics, the model identifies individuals who are likely to be Flower Buyers. The model was trained with data from Prosper's...

Model Package - Fulfilled on Amazon SageMaker


Customer segmentation aggregates the data captured in the KYC details and creates customer groups. The KYC data comes in various categories such as  Geographic, Demographic, Behavior and Financial variables.  This solution leverages machine learning to identify patterns in the data and segment the...

Model Package - Fulfilled on Amazon SageMaker


Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer has a specific health condition. Based on a set of basic demographics, the model identifies individuals who are likely to have the health condition. The model was trained with data from Prosper's...

Model Package - Fulfilled on Amazon SageMaker


Multi-INT Analytics for Pattern Learning and Exploitation (MAPLE) Spatiotemporal Patterns of Life (STPoL) learns normalcy models from observation data. Model clusters capture of where observations usually occur, when they usually occur or how many usually occur. MAPLE's nonparametric machine...

Linux/Unix, CentOS 7 - 64-bit Amazon Machine Image (AMI)

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