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The solution will provide machine learning related feature engineering as output for the user provided data. The feature engineering operations to execute on the data can be specified by user in a separate config file. This will simplify the task of feature engineering for a data scientist where in...

Model Package - Fulfilled on Amazon SageMaker


This post-pandemic Propensity Model determines the probability that a US adult is Planning to Purchase Canadian Goose. Lift over Random 3.63. 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...

Model Package - Fulfilled on Amazon SageMaker


This post-pandemic Propensity Model determines the probability that a US adult does Fantasy Sports Occasionally. Lift over Random 2.62. 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...

Model Package - Fulfilled on Amazon SageMaker

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Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer uses Lyft. 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


In today’s technology-forward environment, companies of all types face a variety of obstacles in delivering relevant, significant, and valuable products. Customers and employees expect seamless experiences at every touchpoint, and the complexities of meeting changing demands are higher than ever...

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Glaucoma is characterized by dysfunction and loss of retinal ganglion cells (RGCs), with resulting structural changes to the optic nerve head, as well as loss of the visual field. This machine learning models predicts the diagnosis of glaucoma based on retinal nerve fiber layer (RNFL) thickness and...

Model Package - Fulfilled on Amazon SageMaker

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A Gradient Boosted Decision Tree for classification on sparse data set like LibSVM 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


A composable Zero Code AI Platform with Machine Learning, Deep Learning, and AI capabilities such as Predictive Analytics, Neural Networks, Natural Language Processing, & Computer Vision combined with Supply Chain ontology (semantics) driven Data Integration, Data Preparation, Treatment, and...


Cloud storage cost forecasting helps businesses assess the cost incurred from their cloud storage based on historic data. This will help businesses get an understanding of the potential cost for their cloud resources and help them plan better to manage storage services like S3 buckets, EC2 storage,...

Model Package - Fulfilled on Amazon SageMaker


The Wizata Platform is a state-of-the-art IIoT application designed to help users improve operation management on all levels. It's a software solution that allows users to improve manufacturing, locate bottlenecks, and make better data-driven business decisions. With the use of advanced AI,...