Hello everyone I'd like to take following task: https://issues.apache.org/jira/browse/IGNITE-12384?jql=project%20%3D%20IGNITE%20AND%20status%20in%20(Open%2C%20Reopened)%20AND%20component%20%3D%20ML%20AND%20labels%20%3D%20newbie
But I do not fully understand what exactly needs to be done. As far as I understand encoders are needed to convert categorical variables to numerical. So, to demonstrate how they works I need some dataset with several categorical features. Should I search for it or generate by myself? Then, do I need to solve some regression/classification problem in order to demonstrate "power" of using categorical variables to fit prediction or classification models?
