Introduction
This article is a sequel to Mobile Apps Dataset. I added fascinating data to the dataset — a list of users, installed applications, user gender, and statistics on the gender distribution for apps.
DOI: 10.34740/KAGGLE/DSV/2309388
For a successful advertising campaign, working with a segment is vital, and the gender of the user simplifies the work of selecting segments at times.
I will tell you how collecting statistics on applications allow ML to predict a user’s gender. All images unless otherwise noted are by the author.
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