Using supervised machine learning techniques to find university level factors affecting graduation and retention rates in US Colleges
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Updated
Jan 23, 2019 - Jupyter Notebook
Using supervised machine learning techniques to find university level factors affecting graduation and retention rates in US Colleges
This repository includes detailed data analyses and prediction models for students' on-time graduation using various machine learning algorithms.
This is an expansion of dsb318-group4 (see repo: dsb318-group4), in which we collaborated to predict high school graduation rates in CA from other trends (e.g., poverty rate, availability of e-cigarettes). Collaboration between Eli and Emily.
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