I'm new to the community, so bear with me if the answers are simple.
As a hobby project, I am trying to predict spectator figures for a sports team.
The data include, e.g:
- Weather (temperature, wind, rainfall)
- Time (weekday, month)
- Form (points in the last x games)
Obviously, as some are naturally correlated, I won't use all.
Anyway, I have used MLR, but could use some sparring for an alternative model.
So: What model do you reckon would be appropriate for this type of data,
and maybe which ML packages could train it?