This solution utilizes unsupervised outlier detection methods to detect anomalous health events from multiple sensors providing their heart rate and steps data sequenced over a period of time. Such an approach does not require labelling, as the model learns to detect anomalous values from the...
Algorithm - Fulfilled on Amazon SageMaker
Algorithmic bias is a major concern in models predicting outcomes for people such as loan approval, hiring, committing crime in the future etc. Algorithmic Bias needs to be detected and corrected to ensure that historically disadvantaged groups are not being discriminated against. The solution...
Model Package - Fulfilled on Amazon SageMaker
Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer is a Macy's Clothing Shopper. Based on a set of basic demographics, the model identifies individuals likely to be a Macy's Clothing Shopper. The model was trained with data from Prosper's large...
Model Package - Fulfilled on Amazon SageMaker
Customer churn refers to the loss of existing clients or customers. This solution identifies insurance customers who are more likely to close/not renew their policies with the insurance provider. During the training stage, the solution automatically conducts feature interaction on the training...
Algorithm - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult uses Video Conferencing for School. Lift over Random 2.78. 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...
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult Drinks Craft Beer. Lift over Random 1.84. 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
This post-pandemic Propensity Model determines the probability that a US adult is Planning to Purchase Versace. Lift over Random 2.31. 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...
Model Package - Fulfilled on Amazon SageMaker
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Machine-Learning-based Network Intrusion Detection System (NIDS) meant to be used with NetFlow traffic. Given an input flow, this will return the threat type alongside the confidence of the prediction. It is capable of detecting 4 main network traffic classes: Benign, Brute Force, DDoS, and...
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
This post-pandemic Propensity Model determines the probability that a US adult Gambles Online. Lift over Random 1.57. 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
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