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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)


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

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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


Customer churn refers to the situation when a customer ends their relationship with a company, and it’s a costly problem. Loss of customers impacts sales of a company. This model can be used by companies to predict the probability of a customer leaving the company. The model is trained on the data...

Model Package - Fulfilled on Amazon SageMaker


Americans owed over $1.03 trillion in credit-card debt as of April'18. Having existing customers or acquiring new ones who are likely to default on their payments is bad for business. The ability to identify these customers beforehand can help lending institutions in making proactive decisions to...

Model Package - Fulfilled on Amazon SageMaker


The decision forest classification algorithm is based on an ensemble of tree-structured classifiers built using the general technique of bootstrap aggregation (bagging) and random choice of features. Decision tree is a binary tree graph. Its internal (split) nodes represent a decision function used...

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


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


By using over 280 stats for teams from both games and seasons going back to the 1990’s, this model can help predict the winners and losers for any future NFL matchups. Whether you are trying to get the upper hand in one of your pick-em leagues or just want to see if your favorite team is going to...

Model Package - Fulfilled on Amazon SageMaker