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Classification-Structured (247 results) showing 241 - 247



This post-pandemic Propensity Model determines the probability that a US adult is Planning to Purchase Vans. Lift over Random 1.45. 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 has OCD. Lift over Random 2.63. 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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Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer is a Target Clothing Shopper. Based on a set of basic demographics, the model identifies individuals likely to shop at Target for Clothing. The model was trained with data from Prosper's large...

Model Package - Fulfilled on Amazon SageMaker


This solution takes an annual report in a digital PDF format as input, and returns the JSON data corresponding to the extracted tabular data from the report's Cash Flow statements. The solution utilizes computer vision techniques to identify the pages with tables, as well as text-based...

Model Package - Fulfilled on Amazon SageMaker


A Gradient Boosted Decision Tree for classification on sparse data set like CSV without translating the data set into other formats like recordIO. The algorithm scales efficiently across multi-cores on a single AWS EC2 Instance out of the box.

Algorithm - 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


Accu.Tuning is a data analysis tool that automatically finds the optimal machine learning model. Without deep knowledge of data science, you can train and tune various algorithms and hyperparameters with this product. The Exploratory Data Analysis(EDA) visualizations show what the data can tell us...

Linux/Unix, Amazon Linux N/A - 64-bit Amazon Machine Image (AMI)