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Student Intervention

This is one of the projects I completed for Udacity's Machine Learning Engineer Nanodegree. In this project, I explored the variables that affected student drop-out rates in high school using three models: decision trees, Naive Bayes, and support vector machines.

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Udacity Machine Learning Engineer Nanodegree Project #2 - Classification using Naive Bayes, decision trees, and support vector machines. Model quality evaluated by using grid-search cross-validation.

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