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De-biasing website fractions - gender

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

Beceriler: İstatistik, Python, Kullanıcı Deneyimi Tasarımı, İstatistiksel Analiz

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İşveren Hakkında:
( 10 değerlendirme ) Amsterdam, Netherlands

Proje NO: #29003303

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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 Daha Fazla

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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 Daha Fazla

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