By: Ajda Pretnar Žagar, Aug 31, 2022
Socio-economic data at your fingertips
New World Happiness add-on for retrieving socio-economic data from the OECD database joins the Orange family.
By: Ajda Pretnar Žagar, Aug 31, 2022
New World Happiness add-on for retrieving socio-economic data from the OECD database joins the Orange family.
By: Ajda Pretnar Žagar, Aug 4, 2022
Timeseries' visualizations are becoming fully PyQt, making them easier to maintain. We've also fixed many bugs, which should make working with the timeseries a joy once again.
By: Blaž Zupan, Jun 16, 2022
We are crafting free educational material to help in data science training.
By: Zala Gruden, Jun 2, 2022
We visited fourthgraders in our local elementary school and taught them about clustering and data collection.
By: Ela Praznik, May 25, 2022
The Survival Analysis add-on offers accesible tools for survival analysis, the Kaplan-Meier widget being a prime example. In this blogpost we provide an introduction to the Kaplan-Meier Estimator using a simple example and show how the tool can be used in Orange on larger datasets.
By: Ajda Pretnar Žagar, May 20, 2022
Confusion matrix shows classification error, but what is a suitable alternative for observing regression errors in Orange?
By: Noah Novšak, May 13, 2022
The Interactions widget has been added back to Orange 3. Illustrating how to use attribute interactions to improve predictive models.
By: Zala Gruden, May 12, 2022
Read more about the project in the blogpost and Check out the site to find out more about the prepaired activities.
By: Blaž Zupan, Apr 26, 2022
A conference on Artificial Intelligence in Medicine is hosting our tutorial on training of crucial mechanics behind data science and machine learning with Orange.
By: Blaž Zupan, Apr 26, 2022
On Thursday, May 26, 2022, at 16:00 CET, we will organize a webinar for educators who either use or are interested in using Orange Data Mining in data science training. The webinar will feature a short demo on using Orange for training in machine learning. We will showcase several data visualization and exploration widgets and show you some tricks that you could use in your training sessions. We will also present our GitHub repository with our openly-available Orange training material.