Using supervised machine learning techniques to find university level factors affecting graduation and retention rates in US Colleges
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Jan 23, 2019 - Jupyter Notebook
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graduation-rates
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This repository includes detailed data analyses and prediction models for students' on-time graduation using various machine learning algorithms.
data-science machine-learning university exploratory-data-analysis machine-learning-algorithms data-visualization data-analysis decision-trees decision-tree-classifier study-project graduation-rates
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Mar 13, 2024 - Jupyter Notebook
Comprehensive Tableau dashboard analyzing U.S. higher education landscape using IPEDS data - enrollment patterns, graduation rates, regional demographics, and institutional performance metrics
data-visualization higher-education demographic-analysis institutional-research graduation-rates tableau-dashboard educational-policy enrollment-analysis educational-analytics ipeds-data
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Aug 20, 2025
Applied machine learning analysis of high school attendance and on-time graduation, accompanied by a published write-up translating results into insights for non-technical stakeholders.
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Jan 21, 2026 - Jupyter Notebook
Analyzes chronic absenteeism as an early risk signal for district-level graduation outcomes using CRDC and EDFacts data, emphasizing interpretability and prioritization.
exploratory-data-analysis statistical-analysis data-cleaning education-data graduation-rates education-analytics chronic-absenteeism
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Feb 11, 2026 - Jupyter Notebook
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.
regression regularization regression-models graduation-rates regularization-methods regularization-hyperparameters dropout-rates
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Nov 9, 2024 - Jupyter Notebook
Student-Sucess-Insights For U.S. Higher Education
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Dec 10, 2024
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