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Regression (23 results) showing 1 - 10



H2O’s AutoML can be used for automating the machine learning workflow, which includes automatic training and tuning of many models within a user-specified time-limit. Stacked Ensembles – one based on all previously trained models, another one on the best model of each family – will be automatically...

Algorithm - Fulfilled on Amazon SageMaker


This model was created using data using over 785k records from the cryptocurrency marketing dating all the way back to 2013. The set used for the model uses a market data of over 1600 different cryptocurrencies to help make predictions. With only eight easily accessible and attributes making a...

Model Package - Fulfilled on Amazon SageMaker


This is a demo product from Amazon that showcases the Marketplace experience. It was created using this sample notebook https://github.com/awslabs/amazon-sagemaker-examples/blob/master/advanced_functionality/scikit_bring_your_own/scikit_bring_your_own.ipynb. Decision Trees (DTs) are a...

Algorithm - Fulfilled on Amazon SageMaker


This is a demo product from Amazon that showcases the Marketplace experience. It was created using this sample notebook https://github.com/awslabs/amazon-sagemaker-examples/blob/master/advanced_functionality/scikit_bring_your_own/scikit_bring_your_own.ipynb. Decision Trees (DTs) are a...

Model Package - Fulfilled on Amazon SageMaker


Flight delays hurt airlines, airports, and passengers. Their prediction is crucial during the decision-making process for all players of commercial aviation. Moreover, the development of accurate prediction models for flight delays became cumbersome due to the complexity of air transportation...

Model Package - Fulfilled on Amazon SageMaker

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A Gradient Boosted Decision Tree for regression on dense 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


This algorithm uses the scikit learn framework to predict hospital readmissions from EMR data, DRGs and billing data. The model predicts the probability that a patient will return to the hospital within a certain time period(30 days) or not. The predicted output is the % chance that the patient...

Algorithm - Fulfilled on Amazon SageMaker


Logistic regression is a method for modeling the relationships between one or more explanatory variables and a categorical variable by expressing the posterior statistical distribution of the categorical variable via linear functions on observed data. If the categorical variable is binary, that is...

Algorithm - Fulfilled on Amazon SageMaker

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A Gradient Boosted Decision Tree for regression 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


Sales forecasting is an important tool for any growing business especially to determine future revenue and planning for any demand and will help make many important business decisions. Accurate sales forecasting can help you track data to gain insight into areas where improvements can be made. Such...

Model Package - Fulfilled on Amazon SageMaker