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The fee-free tier of the Benzinga Basic News API makes adding Benzinga's institutional grade financial news to your application easier than ever! The Benzinga Basic News API contains a large subset of Benzinga's trusted editorial content. The fee-free tier includes the article's headline, body...


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Centers for Disease Control and Prevention provides free and open access to various health related data. This release contains behavioral data for smokers and non-smoker for the year 2011. BRFSS (Behavioral Risk Factor Surveillance System) combined land line and cell phone prevalence data....


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The India Urban Prime Markets I Data Package provides sociodemographic data on persons and households as well as information about income, SEC classification and Expenditure behavior. The data is based on official population registers, anonymized transaction-based information and qualitative market...


Breast cancer is the most common form of cancer and the second most common cause of cancer deaths among women. This model is trained on features that are computed from a digitized image of a fine needle aspirate (FNA) biopsy of a breast mass. They describe characteristics of the cell nuclei such as...

Model Package - Fulfilled on Amazon SageMaker


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LandMark Place Visit Stream details visits to a branded Dining point of interest (POI) by time. The data set includes the brand, a hashed id of the visitor, a time stamp, and the DMA. LandMark Place Visit Stream can be used to understand traffic health and trends, identify regional gaps and...


The CV19 Index (https://cv19index.com) is an open source, AI-based predictive model that identifies people likely to have heightened vulnerability to complications from COVID-19. The index is intended to help hospitals and government agencies respond to COVID-19. By targeting their outreach...

Model Package - Fulfilled on Amazon SageMaker


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This dataset on remuneration of employment contains data on average annual wages per full-time and full-year equivalent employee in the total economy.


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