Hello guys, I'm trying understand how I could predict the next month page views based on the previous access pattern.
For example, I've collected statistics on page views: e.g. Page,UniqueView ------------------------- pageA, 10000 pageB, 999 ... pageZ,200 I aggregate the statistics monthly. I've prepared a file containing last 3 months as this: e.g. Page,UV_NOV, UV_DEC, UV_JAN --------------------------------------------------- pageA, 10000,9989,11000 pageB, 999,500,700 ... pageZ,200,50,34 Based on above information, I want to predict the next month (FEB). Which alogrithm do you think will suit most, I think linear regression is the safe bet. However, I'm struggling to prepare this data for LR ML, especially how do I prepare the X,Y relationship. The Y is easy (uniqiue visitors), but not sure about the X(it should be Page,right). However, how do I plot those three months of data. Could you give me an example based on above example data? Page,UV_NOV, UV_DEC, UV_JAN --------------------------------------------------- 1, 10000,9989,11000 2, 999,500,700 ... 26,200,50,34
