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Regression (23 results) showing 1 - 10



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


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 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 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


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

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The Hello Forex application provides a browser-based interface to explore and download over 105 million currency conversion data points for 18 different currency pairs: AUDJPY, AUDUSD, CHFJPY, EURCAD, EURCHF, EURGBP, EURJPY, EURUSD, GBPCHF, GBPJPY, GBPUSD, NZDJPY, NZDUSD, USDCAD, USDCHF, USDJPY,...

Linux/Unix, Ubuntu 16.04 - 64-bit Amazon Machine Image (AMI)


Using the dataset compiled by Hadi Fanaee-T from the University of Porto. The model uses the dataset to help predict the number of rentals for the day based on weather and holiday statistics.

Model Package - Fulfilled on Amazon SageMaker

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A Random Forest 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


Gradient Boosting Machine (for Regression and Classification) is a forward learning ensemble method. The guiding heuristic is that good predictive results can be obtained through increasingly refined approximations. H2O’s GBM sequentially builds regression trees on all the features of the dataset...

Algorithm - Fulfilled on Amazon SageMaker