I do a lot of things with #KNIME but today I explore another #lowcode #DataScience tool called #Orange which is entirely based on #Python and can also do a nice comparison of #machinelearning algorithms. Spoiler alert: the results are mostly the same as with KNIME or 'pure' Python but the tool is fun anyway 🙂

https://medium.com/p/d185214037af

#GitHub repository with additional approach using #vtreat

https://github.com/ml-score/orange/tree/main/orange_machine_learning

Before you can do fancy #MachineLearning it does make sense to prepare your data - like deal with missing values, remove highly correlated variables and so on. You can do a lot of this by hand or you could employ a ready made tool like #vtreat which has been implemented in #R and #Python - wrapped in a convenient #KNIME workflow.

You can read more in my #Medium story. Also check out the examples mentioned there on the KNIME Hub

https://forum.knime.com/t/data-preparation-for-machine-learning-with-knime-and-the-python-vtreat-package/58679?u=mlauber71