Could you please assist me with to following question?
I have a customer activity dataframe that looks like this:
It contains at least 500.000 customers and a “timeseries” of 42 months. The ones and zeroes represent customer activity. If a customer was active during a particular month then there will be a 1, if not - 0. I need determine those customers that most likely (+ probability) will not be active during the next 6 months (2018 July-December).
Could you please direct me what approach/models should i use in order to predict this? I use Python.
Thanks in advance!