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
2 freelances font une offre moyenne de 22 € pour ce travail
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 Plus
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 Plus