Joel Grus • 6/19/2013

T-Shirts, Feminism, Parenting, and Data Science, Part 1: Colors

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The author, a parent and data scientist, investigates the stark gender divide in toddler t-shirt designs. Motivated by personal experience, they collect images of boys' and girls' shirts from major retailers. The article details the first analytical approach: using Python's Pillow library to process images and build a model that predicts a shirt's gender section based on quantized color data, highlighting the project's intersection of data science, social observation, and parenting.

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#Machine Learning #gender bias #Data Science
T-Shirts, Feminism, Parenting, and Data Science, Part 1: Colors

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