User behavior is an important part of data analysis for businesses. This project monitors behavior of Divar's users and has been done in three major parts:
•Data cleansing
•Define metrics such: dark query rate, query bounce rate,etc.
•Bernoulli distribution of defined metrics
RominaShin/User-Behavior-Analytics
Folders and files
| Name | Name | Last commit date | ||
|---|---|---|---|---|