# Time Series forecasting model

I have time series dataset with 7 categorical features (Names) and each of them has 3-5 numerical features (results of activities of each person) for the period 1996-2017 by months. Is it possible to create a model that will be forecasting "Y" on the base of values for selected Names. For example: John + Jack = Y? in 2017-02-01.

Example of the dataset:

Yes, you certainly can. You have to convert all your categorical variables into one numbers. This means, names in your Name and Name2 columns can be converted using one-hot encoder.