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ByAdrienGarciaDev | Ver Rstudio:2024.09.1-r:4.4.2-AL:2023.2.20231030.1
Starting from $0.01 to $0.01/hr for software + AWS usage fees RStudio is an integrated development environment for R, a programming language for statistical computing and graphics. RStudio Server runs on a remote server and allows accessing RStudio using a web browser. | |
BySK Holdings C&C | Ver 3.0.3 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... | |
ByRocketML | Ver 0.1 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. | |
ByRocketML | Ver 0.1
A logistic regression model for binary 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. | |
ByRocketML | Ver 0.1 Random Forest classification on dense 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. | |
ByRocketML | Ver 0.1 A Gradient Boosted Decision Tree for classification on sparse data set like CSV 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. | |
We aim to optimize your decision-making process and unlock the value of your Teradata data. Our comprehensive solution and expert team streamline data ingestion, freeing your Teradata platform for analytics and establishing it as a single source of truth. Our goal is to co-create a cost-effective s... | |
ByRocketML | Ver 0.1
A Gradient Boosted Decision Tree 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. | |
ByProsper Insights & Analytics | Ver V 1.0 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 Prosper'... | |
ByClosedLoop.ai | Ver 1.0.0 The CV19 Index (http://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... | |
ByProsper Insights & Analytics | Ver V1 Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer uses Uber regularly. Based on a set of basic demographics, the model identifies individuals likely to use Uber. The model was trained with data from Prosper's large Media Behaviors & Influence (MBI)... | |
ByProsper Insights & Analytics | Ver V 1.0 This Pandemic Propensity Model determines the probability that a US adult is Planning to Buy a Car or Truck. Lift over Random 1.68 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 P... | |
ByProsper Insights & Analytics | Ver 1.0 This post-pandemic Propensity Model determines the probability that a US adult uses TikTok Regularly. Lift over Random 2.11. 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... | |
ByProsper Insights & Analytics | Ver 1.0 This post-pandemic Propensity Model determines the probability that a US adult is a YouTube Viewer. Lift over Random 2.27. 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... | |
ByProsper Insights & Analytics | Ver 1.0 This post-pandemic Propensity Model determines the probability that a US adult uses Instagram Regularly. Lift over Random 1.47. 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... | |
ByProsper Insights & Analytics | Ver 1.0 This post-pandemic Propensity Model determines the probability that a US adult uses Streaming services the Most. Lift over Random 1.32. 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... | |
ByProsper Insights & Analytics | Ver V1.0 Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer plays Team Sports. Based on a set of basic demographics, the model identifies individuals likely to play Team Sports as a leisure time activity. The model was trained with data from Prosper's large... | |
ByProsper Insights & Analytics | Ver 1.0 This post-pandemic Propensity Model determines the probability that a US adult has Depression. Lift over Random 1.62. 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... | |
ByProsper Insights & Analytics | Ver V 1.0 Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer is a Macy's Clothing Shopper. Based on a set of basic demographics, the model identifies individuals likely to be a Macy's Clothing Shopper. The model was trained with data from Prosper's large... | |
ByProsper Insights & Analytics | Ver V1.0 Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer has a specific health condition. Based on a set of basic demographics, the model identifies individuals who are likely to have the health condition. The model was trained with data from Prosper's... |