This post-pandemic Propensity Model determines the probability that a US adult is Planning to Buy Life Insurance. Lift over Random 2.13. 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 is a Business Purchaser Influencer. Lift over Random 1.97. 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
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
Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer works on their own car. Based on a set of basic demographics, the model identifies individuals who are likely to be an automotive DIYer. The model was trained with data from Prosper's large Media...
Model Package - Fulfilled on Amazon SageMaker
Gradient Boosting Machine (for Regression and Classification) is a forward learning ensemble method. The guiding heuristic is that good predictive results can be obtained through increasingly refined approximations. H2O’s GBM sequentially builds regression trees on all the features of the dataset...
Algorithm - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult uses CBD Regularly and/or Occasionally. Lift over Random 1.37. 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
Early detection of arrhythmia is crucial as it could be life threatening while showing no symptoms. This solution helps in classifying each peak in the electrocardiogram waveform data (even from multiple leads) into the following categories: Normal, Premature ventricular contraction, Paced beat,...
Algorithm - Fulfilled on Amazon SageMaker
This solution identifies the borrowers who are most likely to default on their Consumer loans in peer-to-peer lending. During the training stage, the solution understands the dataset, handles missing data and class imbalance, conducts feature interaction on the training data and selects a subset of...
Algorithm - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult Watches NFL. Lift over Random 1.50. 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 plans to buy Jewelry for Valentine’s Day. Based on a set of basic demographics, the model identifies individuals who are likely to be Jewelry Buyers. The model was trained with data from Prosper's...
Model Package - Fulfilled on Amazon SageMaker
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