This project is to analyze web site visitor log file data (or google analytics data) and create a model that can group web site visitors into buckets (the buckets need to be generated by the model).
Groupings might be based on attributes like: Referrer URL, pages visited, time on site, time on specific pages, visitor value, visitor actions, etc.
a) Take the log file data and process it to extract the attributes
b) Build the model
c) Be able to feed new log file data to the model to make predictions about which bucket a visitor belongs to (or put in a new bucket)
d) Move visitors to new buckets as more data is collected
e) Indicate which attributes seem to be most significant
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