Create and Visualize Machine Learning Models Using 2UDA
2ndQuadrant Unified Data Analytics (2UDA) is a data analytics application suite that unifies databases, machine learning, data mining, and visualization. The application can be installed using a user-friendly, one-click desktop installer.
2UDA builds on the capabilities of Orange, an open source machine learning and data visualization tool, by integrating it with the PostgreSQL database.
How 2UDA Works
To perform complex data analytics using 2UDA, machine learning models (supervised and unsupervised) are loaded from Orange and deployed into the PostgreSQL database. Currently, all popular machine learning models such as PCA, K-Means, KNN, SVM, Naive Bayes, and Logistic Regression can be used to train the dataset. These models are then used to build interactive visualizations to explore regression analyses, statistical distributions, decision trees, heatmaps, hierarchical clustering, and linear projections.
Download and Install
The 2UDA installer is available to download for Windows, macOS, and Linux and supports five (5) languages: English, French, German, Italian, and Spanish.