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DS4002P1

This project is a model comparison of Support Vector Machines and Random Forest Classifiers to predict the likelihood of an individual receiving the H1N1 vaccine. It utilizes the LASSO Regression for feature reduction. This project was completed in 4 days during January Term for the UVA DS 4002 course.

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A model comparison of Support Vector Machines and Random Forest Classifiers to predict the likelihood of an individual receiving the H1N1 vaccine. Utilizes LASSO Regression for feature reduction.

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