I'd like to build a regression model for this data to predict a user's test scores given their study habits.
Basically, the variables are in two separate csv tables similar to the ones below. Eventually, I'd like to create a forecasting model.
- Time series data of study habits (multidimensional: location, duration, date, user_id)
- Test scores (scores, date, user_id)
- I'm not sure how to actually put together instances regarding time. Do I just say that every training instance before the next test date gets that test result as the target variable?
- Is there a term for temporally aligning data in a time series or techniques?