Multinomial Logistic Regression


I am on Course 1, week 3 covering Logistic Regression. Not sure if this has been discussed yet, but is there any resources that will explained how does Logistic Regression model apply to multinomial case where target y is not binary? For example, predicting user rating from 1 - 5. If this is being covered in later courses, please disregard.

HI @minh_bo
Welcome to the community!

This topic would be discussed in the next course Advanced Learning Algorithms about how to deal with multiclassification(Multiclass) also this post is very useful 1.12. Multiclass and multioutput algorithms — scikit-learn 1.2.1 documentation.

Best Regards,

Got it. Thank you for the info.