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The code uses the scikit-learn machine learning library to train a decision tree on a small dataset of body metrics (height, width, and shoe size) labeled male or female. Then we can predict the gender of someone given a novel set of body metrics.
Your name contains a lot of information. It tells if you're male or female and reveals your nationality. This project splits a name or email address into the first and last name and tells if a name is male or female and what the possible nationality is. Additionally this project can generate fake names and extract names from any given text.
Applying the Naive Bayes Classifier model to a dataset of art house Sotheby's auction prices, based on the art movement and gender of the artist with the aim to see how these variables could help predict the sale value of the artwork
For a digital humanities project, I created a converter program called "What's Your Identity? ♀️ ♂️". My pronoun_id() function returns the correct pronoun classification associated with a corresponding gender identity.