Orange Archives - 2ndQuadrant

Machine‌ ‌Learning‌ ‌with‌ ‌2UDA‌ ‌-‌ ‌PostgreSQL‌ ‌and‌ ‌ Orange‌ ‌-‌ ‌Concluding‌ ‌the‌ ‌series‌

July 17, 2020/0 Comments/in 2ndQuadrant, Seemab's PlanetPostgreSQL /by Semab Tariq

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. […]

How to use AdaBoost Machine Learning model with 2UDA – PostgreSQL and Orange (Part 6)

June 11, 2020/0 Comments/in 2ndQuadrant, Seemab's PlanetPostgreSQL /by Semab Tariq

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 […]

How to use Logistic Regression Machine Learning model with 2UDA – PostgreSQL and Orange (Part 5)

May 21, 2020/0 Comments/in 2ndQuadrant, Seemab's PlanetPostgreSQL /by Semab Tariq

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 […]

How to use Tree Machine Learning model with 2UDA – PostgreSQL and Orange (Part 4)

April 30, 2020/0 Comments/in 2ndQuadrant, Seemab's PlanetPostgreSQL /by Semab Tariq

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 […]

How to use the Random Forest Machine Learning Model with 2UDA – PostgreSQL and Orange (Part 3)

April 9, 2020/0 Comments/in 2ndQuadrant, Seemab's PlanetPostgreSQL /by Semab Tariq

This article gives a step by step guide to utilizing Machine Learning capabilities with 2UDA. In this article, we’ll use examples of Animals to predict whether they are Mammals, Birds, Fish or Insects. Software versions We’re going to use 2UDA version 11.6-1 to implement the Machine Learning model. This version 11.6-1 combines: PostgreSQL 11.6 Orange […]

How to use the SVM Machine Learning Model with 2UDA – PostgreSQL and Orange (Part 2)

February 27, 2020/0 Comments/in 2ndQuadrant, Seemab's PlanetPostgreSQL /by Semab Tariq

This article gives a step by step guide to utilizing Machine Learning capabilities with 2UDA. In this article, we’ll use examples of Animals to predict whether they are Mammals, Birds, Fish or Insects. Software versions We’re going to use 2UDA version 11.6-1 to implement the Machine Learning model. This version 11.6-1 combines: PostgreSQL 11.6 Orange […]

How to use the KNN Machine Learning Model with 2UDA – PostgreSQL and Orange (Part 1)

February 4, 2020/0 Comments/in 2ndQuadrant, PostgreSQL, Seemab's PlanetPostgreSQL /by Semab Tariq

This article gives a step by step guide to utilizing Machine Learning capabilities with 2UDA. In the article, we’ll use an example of Animals to predict whether they are mammals, Birds, Fish or Insects. Software versions We’re going to use 2UDA version 11.6-1 to implement the Machine Learning model. 2UDA version 11.6-1 combines: PostgreSQL 11.6 […]

pgpredict – Predictive analytics in PostgreSQL

April 14, 2016/0 Comments/in 2ndQuadrant, Data Mining, Lan's PlanetPostgreSQL, PostgreSQL /by Lan Zagar

We all realize how important it is to be able to analyze the data we gather and extract useful information from it. 2UDA is a step in that direction and aims to bring together data storage and management (PostgreSQL) with data mining and analysis (Orange). pgpredict is a project in development and aims to be […]

2UDA – New features in Orange (Part 2)

January 12, 2016/0 Comments/in Data Mining /by Lan Zagar

Orange is continuously being improved and made more friendly and useful for the users based on their feedback and experiences. Some new features were already described in Part 1 of this blog series. Two other new features that appeared recently (available in the latest 2UDA package) are the Color widget and the reporting functionality. The […]

2UDA RC1 – New features in Orange (Part 1)

December 28, 2015/2 Comments/in Data Mining /by Lan Zagar

The 2UDA installation package was updated recently to include the newly released PostgreSQL 9.5 RC1. Also found in the new package is an updated version of Orange bringing some new features, improvements, and bug fixes. Summary of the more noticeable changes can be found in 2UDA release notes. In this first of a series of […]

Posts

Machine‌ ‌Learning‌ ‌with‌ ‌2UDA‌ ‌-‌ ‌PostgreSQL‌ ‌and‌ ‌ Orange‌ ‌-‌ ‌Concluding‌ ‌the‌ ‌series‌

How to use AdaBoost Machine Learning model with 2UDA – PostgreSQL and Orange (Part 6)

How to use Logistic Regression Machine Learning model with 2UDA – PostgreSQL and Orange (Part 5)

How to use Tree Machine Learning model with 2UDA – PostgreSQL and Orange (Part 4)

How to use the Random Forest Machine Learning Model with 2UDA – PostgreSQL and Orange (Part 3)

How to use the SVM Machine Learning Model with 2UDA – PostgreSQL and Orange (Part 2)

How to use the KNN Machine Learning Model with 2UDA – PostgreSQL and Orange (Part 1)

pgpredict – Predictive analytics in PostgreSQL

2UDA – New features in Orange (Part 2)

2UDA RC1 – New features in Orange (Part 1)

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