I have a data frame with large categorical values over 1600 categories. Is there any way I can find alternatives so that I don't have over 1600 columns?
I found this interesting link.
But they are converting to class/object which I don't want. I want my final output as a data frame so that I can test with different machine learning models? Or, is there any way I can use the generated matrix to train the other machine learning models other than Logistic regression or XGBoost?
Is there anyway I can implement it?