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.
In this article, We are going to perform analysis on different images of Animals like. Cats, Cows, Fish, Dogs, and Elephants and based on the feature set of every image we will try to see if our model is able to classify each Animal into the correct category or not. The expected result should be […]
In this blog series, we have covered the following machine learning models to utilize Machine Learning capabilities with 2UDA. KNN SVM Random Forest Tree Logistic Regression AdaBoost Neural Network Now we are bringing you a recap of this blog series in order to summarize the results we obtained through these models in a single post. […]
This article gives a step by step guide to utilizing Machine Learning capabilities with 2UDA. In this article, we will use examples of Animals to predict whether they are Mammals, Birds, Fish or Insects. Software versions We are going to use 2UDA version 11.6-1 to implement the Machine Learning model. This version 11.6-1 combines: PostgreSQL […]