Starting from $4.57/hr or from $33,350.00/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
A supervised learning algorithm that uses Artificial Neural Network to classify if the loan will be approved or not. The algorithm uses the Accuracy score metric for determining the quality of the model. Input data should be given in CSV format. This algorithm supports hyperparameter tuning to tune...
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
This algorithm enhances contemporary credit scoring by determining whether someone will experience financial delinquency in coming years. Can be used to know the potential risks in credit profile of a customer beforehand and eventually take adequate measures to mitigate it.
Algorithm - Fulfilled on Amazon SageMaker
Accu.Tuning is a data analysis tool that automatically finds the optimal machine learning model. Without deep knowledge of data science, you can train and tune various algorithms and hyperparameters with this product. The Exploratory Data Analysis(EDA) visualizations show what the data can tell us...
Linux/Unix, Amazon Linux N/A - 64-bit Amazon Machine Image (AMI)
This algorithm helps in predicting the possibilty of churn in telecom industry using Random Forest binary classifier from scikit-learn library. It uses the SMOTE function from imblearn library to overcome the class imbalance and uses recall score as metric for determining the quality of the model....
Algorithm - Fulfilled on Amazon SageMaker
This Pandemic Propensity Model determines the probability that a US adult is Planning to Buy a House. Lift over Random 1.33 This Pandemic Propensity model is one of a series of consumer classification models based on data from over 24,000 US adults surveyed between April to June 2020 from...
Model Package - 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
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