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
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RominaShin/User-Behavior-Analytics
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User Behavior Analysis based on Divar's data
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