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Introduction to Orange data mining software. Learn about the development of Orange workflows, data loading, basic machine ...

Making predictions with classification tree and logistic regression. The data is no longer available. Follow the procedure with any ...

In this video, you will learn about the first steps when working with Orange data mining program - how to open and navigate it, add ...

En este video Aprenderás como usar el software de Datamining Orange para identificar las sucursales con mayores y menores ...

Creating a data analysis workflow in Orange data mining software. License: GNU GPL + CC Music by: http://www.bensound.com/ ...

In this video, we begin with classification. As an introduction we look at Edgar Andersons Iris dataset from 1936. We use this data ...

Orange data mining widgets and communication channels. License: GNU GPL + CC Music by: http://www.bensound.com/ ...

In this video, we explore interpretability in classification trees take a look at large trees using the Pythagorean Tree viewer.

A short tutorial showing how to add widgets to the canvas and connect them into a simple workflow.

How to work with text in Orange, perform text preprocessing and create your own custom stopword list. For more information on ...

How to use embeddings for image classification and what can misclassifications tell us. Images kindly provided by: The Bouq at ...

Evaluating classifiers on iris data set and visualizing misclassifications. License: GNU GPL + CC Music by: ...

Dimensionality reduction with principal component analysis. License: GNU GPL + CC Music by: http://www.bensound.com/ ...

In this video, you will learn about the first steps when working with the Orange data mining program - how to create a workflow and ...

In our last video on k-means we use box plots and geo maps to interpret more complex datasets. This video is a part of ...

With this video we are wrapping up with PCA. This last installment will show us that we might gain additional insight into our data if ...

In this video, we show how to construct your own data set and upload it into Orange. We will take a look at how Orange ...

This data contains 16 students, each profiled by their grades in 7 subjects. Take Bill, for example. His grades in English and ...

In the last video, I showed you a clustering using a t-SNE map with the employee data. As a reminder, the data I have profiles ...

We explain how to save graphs created in Orange for later editing and use.