I have a dataset with the following format:
TimeStamp | Action | UserId 2015-02-05 | Action1 | XXX 2015-02-06 | Action2 | YYY 2015-02-07 | Action2 | XXX ...
I try to forecast future
Actions for specific users based on the
Users history in the dataset. I started with ntstool in MATLAB, but it can't handle mixed data types or non-numerical values. Now I am looking for other methods to predict future
Actions and find periodic patterns in the records.
Is it possible to convert the values for
Actions to numeric values or is there a possibility to create a neural network with mixed datatypes on the input? Maybe in R?