This post-pandemic Propensity Model determines the probability that a US adult is Planning to Purchase Louis Vuitton. Lift over Random 2.11. 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
Missing Data Imputation is a robust neural network based solution. This solution fills in missing values for numerical 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
Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer uses Uber. Based on a set of basic demographics, the model identifies individuals who are likely to use the ride share service. The model was trained with data from Prosper's large Media Behaviors &...
Model Package - Fulfilled on Amazon SageMaker
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The long-memory dynamic factor model (LMDFM) algorithm is to make (1) analysis of observed multiple (vector) time-series, (2) multi-step forecasts of multivariate (vector) time-series, and (3) multi-step forecasts of multivariate volatility (variance-covariance matrix) of vector time-series. The...
Algorithm - Fulfilled on Amazon SageMaker
This Pandemic Propensity Model determines the probability that a US adult is Planning Vacation Travel. Lift over Random 1.43 This Pandemic Propensity model is one of a series of consumer classification models based on data from over 24,000 US adults surveyed between April to June 2020 from...
Model Package - Fulfilled on Amazon SageMaker
Cosmos is imagined as addressing open challenges in the customer 360 paradigm: Data is siloed, and the lack of connected data leads to poor customer insights. Lack of comprehensive customer strategy and the need for deeper customer insights like preferences, headroom, CLTV, journey, and hobbies for...
This post-pandemic Propensity Model determines the probability that a US adult Buys Health Insurance. Lift over Random 1.56. 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 has Back Pain. Lift over Random 2.70. 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
DeepInsights Card Fraud Analyzer is a Deep-Learning powered classification solution that provides valuable insights from any data that is highly skewed with relevant class (e.g. fraudulent transactions) being represented by less than 1% of data. The solution works with numerical data and provides...
Model Package - Fulfilled on Amazon SageMaker
This AutoML solution runs several classification and regression machine learning models on the input data. It will identify the best performing model based on the user specified evaluation metric. This will simplify the task of model building for a data scientist where the user will have to specify...
Model Package - Fulfilled on Amazon SageMaker
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