I am new to the forum so please forgive me if this question has been previously asked!
I have been collecting data on the number of users that have used my app on a daily basis for the past 6-7 months. The data is in the following format:
date, users 2017-01-01, 450 2017-01-02, 535 2017-01-03, 288
and so on.
Now what I would like to do is essentially use this data to predict what the value for users will be each date in the future. What would be the best way to approach this problem? It seems to me that this is similar to a “standard” sales forecast, but I am not really sure. Is time series appropriate here? Would a machine learning algorithm be useful? Would i need to collect more data of the most relevant factors that can influence the number of users?
Many thanks in advance!