De-biasing website fractions - gender

Closed Posted 3 years ago Paid on delivery
Closed Paid on delivery

Hi

I have users on our online platform which are not evenly distributed across. In identified users, we have 70% Female vs 30% Male. Which means if I want to indetify new user with out any previous history on website I will be always biasing towards female

My question is how I can

Go back to the old look-alike approach and check if and how that was debiased.

Thanks in advance

Statistics Python UX / User Experience Statistical Analysis

Project ID: #29003303

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2 proposals Remote project Active 3 years ago

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freeproject800

Hello sir We are a group of expert each one has a master degree in statistical analysis Economics and finances. We have more than 9 years of professional experience in STATA, R_programming language, python , SPSS .. R More

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errandssolution

Hello there I have seen and read your project "De-biasing website fractions - gender" and I am very much interested to help. The skill guiding ,me to handle this work are : User Experience Design, Python, Statis More

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