This post-pandemic Propensity Model determines the probability that a US adult is a Netflix Viewer. Lift over Random 1.10. 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
Customer churn refers to the loss of existing clients or customers. This solution identifies mobile network subscribers who are more likely to change their operator. During the training stage, the solution automatically conducts feature interaction on the training data and selects a subset of...
Algorithm - Fulfilled on Amazon SageMaker
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Jump start your ability to understand how much walking was done during the day. Leverage the Modjoul Walking model to understand your steps, how far you walked, and how long you walked.
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult uses Linkedin Regularly. Lift over Random 2.29. 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
InfraGraf Network Traffic Forecasting helps businesses get a future forecast of the network traffic based on historic data. Benefits offered by this solution includes accurate forecast of network traffic which enables better planning for network infrastructure, application scalability and auto...
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult Watches College Football. Lift over Random 1.55. 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
Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer has a specific health condition. Based on a set of basic demographics, the model identifies individuals who are likely to have the health condition. The model was trained with data from Prosper's...
Model Package - Fulfilled on Amazon SageMaker
PROJECT BACKGROUND Machine learning plays an increasingly important role in unlocking the ability to extract actionable insights from complex datasets across a broad range of fields. The collection of ever-increasing amounts of data brings new challenges in data management, preparation, model...
Inventory Forecasting generates 30 months of forward forecast of the Inventory using historical data. It uses ensemble ML algorithms with automatic model selection algorithms. This solution provides consistent and better results due to its ensemble learning approach. This solution performs...
Model Package - Fulfilled on Amazon SageMaker
"Optimize Your Business Operations with AWS Forecast: Fast-Track Consulting and Implementation Services" Scope: Conduct a review of the organization's business objectives and data assets to identify areas where AWS Forecast can provide the most value. Develop a basic forecasting model using AWS...
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