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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


Starting from $3.97/hr or from $29,000.00/yr (17% savings) for software + AWS usage fees

At KNIME, we build software to create and productionize data science using one easy and intuitive environment, enabling every stakeholder in the data science process to focus on what they do best. KNIME Analytics Platform is the open source software for creating data science. KNIME Server is the...

Linux/Unix, Ubuntu 18.04 LTS - 64-bit Amazon Machine Image (AMI)

Free Trial


Starting from $0.82 to $0.82/hr for software + AWS usage fees

Flowmon Collector is an AWS appliance for collection, long-term storage, and analysis of flow data. It supports NetFlow, IPFIX, sFlow, and other formats compatible with NetFlow. Flow data can be collected from flow enabled devices (switches, routers), Flowmon Probes, or flow sources native to AWS...

Linux/Unix, CentOS 7 - 64-bit Amazon Machine Image (AMI)


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


Based on the dataset and research papers created by Rami M. Mohammad of the School of Computing and Engineering, University of Huddersfield this model uses a range of different website attributes and features to accurately predict whether a website may be a potential phishing site.

Model Package - 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


Flowmon Collector is an AWS appliance for collection, long-term storage, and analysis of flow data. It supports NetFlow, IPFIX, sFlow, and other formats compatible with NetFlow. Flow data can be collected from flow enabled devices (switches, routers), Flowmon Probes, or flow sources native to AWS...

Linux/Unix, CentOS 7 - 64-bit Amazon Machine Image (AMI)


A recommender model that learns a matrix factorization embedding based off minimizing the pairwise ranking loss described in the paper.

Algorithm - Fulfilled on Amazon SageMaker

Free Trial


A Random Forest Algorithm 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