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Prosper Insights & Analytics' propensity model predicts the probability that a China adult consumer enjoys a specific leisure time activity. Based on a set of basic demographics, the model identifies individuals who are likely to participate in the activity. The model was trained with data from...

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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


SpeedWise Waterflood Management (SWM) is a revolutionary cloud-native SaaS solution for asset teams looking to optimize waterflood operations. SWM combines the fundamentals of subsurface flow physics with advanced data-driven techniques to quickly build waterflood models based on available...


Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer plays Team Sports. Based on a set of basic demographics, the model identifies individuals likely to play Team Sports as a leisure time activity. The model was trained with data from Prosper's large...

Model Package - Fulfilled on Amazon SageMaker


This post-pandemic Propensity Model determines the probability that a US adult Watches MLB. Lift over Random 1.68. 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


This Pandemic Propensity Model determines the probability that a US adult is Comfortable Shopping in Stores. Lift over Random 1.16 This Pandemic Propensity model is one of a series of consumer classification models based on data from over 31,000 US adults surveyed between April to July 2020 from...

Model Package - Fulfilled on Amazon SageMaker


Categorical Missing Data Imputation is a robust deep learning based solution. This solution fills in missing values for categorical attributes by identifying data patterns in the input dataset. It helps reduce the data quality issues due to incomplete / non-available data.

Model Package - Fulfilled on Amazon SageMaker


This post-pandemic Propensity Model determines the probability that a US adult is Planning to Purchase Michael Kors. Lift over Random 1.62. 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...

Model Package - Fulfilled on Amazon SageMaker


This post-pandemic Propensity Model determines the probability that a US adult Drinks Wine. Lift over Random 1.46. 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


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