This post-pandemic Propensity Model determines the probability that a US adult uses Parler Regularly. Lift over Random 2.79. 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 a Business Owner. Lift over Random 1.61. 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
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This algorithm performs time series clustering with an unsupervised convolutional neural network trained using contrastive learning followed by a K-Means clusterer. It implements both training and inference from CSV data and supports both CPU and GPU instances. The training and inference Docker...
Algorithm - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult has High Blood Pressure. Lift over Random 5.12. 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 will Purchase Adidas. Lift over Random 1.17. 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
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 uses Snapchat Regularly. Lift over Random 1.92. 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
Ticket Severity Forecasting helps businesses to predict the number of tickets of varying severity levels. This helps businesses assess the automation levels and human resources required to resolve the issues. It uses ensemble ML algorithms with automatic model selection algorithms. This solution...
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult Watches NHL. Lift over Random 1.51. 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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The long-memory vector autoregressive (LMVAR) model is to analyze and forecast large number of time-series when they are influenced by both (a) evolution histories of a set of unobserved factors commonly affecting all or many time-series and (b) histories of hidden components affecting...
Algorithm - Fulfilled on Amazon SageMaker
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