This post-pandemic Propensity Model determines the probability that a US adult is Planning to Purchase Gucci. Lift over Random 2.54. 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
This post-pandemic Propensity Model determines the probability that a US adult uses WhatsApp Regularly. Lift over Random 3.00. 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 Pluto TV Viewer. 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 Prosper's US Media...
Model Package - Fulfilled on Amazon SageMaker
Sanctioning loans to consumers without credit history is a challenge for consumer finance companies. This solution predicts the probability of loan delinquency for such consumers. This solution can assist consumer finance companies in their decision-making process while assessing the risk to...
Model Package - Fulfilled on Amazon SageMaker
How green is your car? Cars running on hyrocarbon based fuels are a major contributor of greenhouse gasses in the atmosphere. With the sustainability becoming a decision criteria of acquiring a car along with the other usual attributes like performance, asthetics, reliability etc, this solution...
Model Package - Fulfilled on Amazon SageMaker
This solution predicts the Loss due to default of 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...
Algorithm - Fulfilled on Amazon SageMaker
The solution helps users interpret complex black-box machine learning models by bringing out the important features which the model uses for predictions. It also identifies the features and their effect on the predictions, for each of the predictions. The solution supports 40+ tree based...
Algorithm - Fulfilled on Amazon SageMaker
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The Dynamic Factor Variance-Covariance Model (DFVCM) makes multi-step forecasts of multivariate volatilities of a large number time-series (e.g. those of numerous investable assets in many markets) by applying dynamic factor model (DFM). The multi-step forecasts of multivariate volatilities are...
Algorithm - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult uses Twitter Regularly. 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
This post-pandemic Propensity Model determines the probability that a US adult uses CBD Regularly. Lift over Random 4.48. 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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