I don't have much experience with ML but am looking for some guidance on where I should start.  I have timestamp data mapped to a certain category, e.g. travel, food, groceries, etc.Judging by some other posts and answers, would it be correct to break the data into these intervals (day, week, month, year) and then try to detect patterns across the intervals?  Are there any particular approaches or algorithms I should investigate first?  Thanks!
Trying to detect recurring events at certain intervals, e.g. daily, weeekly, monthly, annually
machine learning;pattern recognition