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Classification-Structured (241 results) showing 1 - 10


  • Version 4.16.5
  • By KNIME

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 22.04 LTS - 64-bit Amazon Machine Image (AMI)


AutoGluon-Tabular can save time by automating time-consuming manual steps—handling missing data, manual feature transformations, data splitting, model selection, algorithm selection, hyperparameter selection and tuning, ensembling multiple models, and repeating the process when data changes. Unlike...

Algorithm - 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...

Model Package - 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


Cleanlab builds AI solutions to assess data quality in messy real-world applications. Mislabeled data is common in classification, but we invented Confident Learning algorithms that automatically detect label errors in your dataset. Label Inspector runs these algorithms to estimate which examples...

Algorithm - Fulfilled on Amazon SageMaker


Generalized Linear Models (GLM) estimate regression models for outcomes following exponential distributions. In addition to the Gaussian (i.e. normal) distribution, these include Poisson, binomial, and gamma distributions. Each serves a different purpose, and depending on distribution and link...

Algorithm - Fulfilled on Amazon SageMaker


This post-pandemic Propensity Model determines the probability that a US adult has Dyslexia. Lift over Random 1.78. 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 Behaviors &...

Model Package - Fulfilled on Amazon SageMaker


This post-pandemic Propensity Model determines the probability that a US adult Uses CBD for Mental Health. Lift over Random 1.60. 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...

Model Package - Fulfilled on Amazon SageMaker


This post-pandemic Propensity Model determines the probability that a US adult is a Dog Owner. Lift over Random 1.16. 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 Behaviors...

Model Package - Fulfilled on Amazon SageMaker