Gender Predictor Model

The gender_predictor project is a machine learning notebook designed to classify a person’s gender based on their name, major, height, weight, and hobbies. It uses a dataset of that information labeled by gender and applies natural language processing techniques—such as extracting information to train a model capable of making predictions. The model is evaluated for accuracy and tested on sample data. This project demonstrates practical applications of supervised learning and text preprocessing, giving insight into feature engineering from string data. It’s suitable for learning basics of classification using data like names, majors, height, weight, and hobbies.

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Source: gender_predictor