jphall663/GWU_data_mining

Materials for GWU DNSC 6279 and DNSC 6290.

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Emerging

This project provides comprehensive materials for graduate-level courses in data mining and machine learning. It covers techniques for data preparation, building predictive models like regression and neural networks, and discovering relationships in large datasets. It's intended for students or professionals seeking to apply statistical and machine learning approaches to real-world data for organizational decision-making.

240 stars. No commits in the last 6 months.

Use this if you are a student or a professional wanting to learn or refresh your understanding of data mining and machine learning concepts and their practical applications.

Not ideal if you are looking for a plug-and-play software tool or a pre-built solution to directly apply to your data without learning the underlying methods.

data-mining machine-learning predictive-analytics statistical-modeling business-intelligence
No License Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 25 / 25

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Stars

240

Forks

174

Language

Jupyter Notebook

License

Last pushed

May 27, 2025

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