https://github.com/dmarks84/coursework_project_network-analysis-node-link-prediction

Project for University of Michigan Applied Data Science Specialization -- Analyzed network nodes and edges, developing custom features based on various scoring metrics; used features to train classifier model to predict node attribute (employee salary type) and future edges (employee connections)
https://github.com/dmarks84/coursework_project_network-analysis-node-link-prediction

classification cross-validation data-reporting databases eda grid-search matplotlib network-analysis numpy pandas python scikit-learn statistics supervised-ml visualization

Last synced: 11 days ago
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Project for University of Michigan Applied Data Science Specialization -- Analyzed network nodes and edges, developing custom features based on various scoring metrics; used features to train classifier model to predict node attribute (employee salary type) and future edges (employee connections)

• Host: GitHub
• URL: https://github.com/dmarks84/coursework_project_network-analysis-node-link-prediction
• Owner: dmarks84
• License: bsd-3-clause
• Created: 2024-01-24T19:11:09.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-01-24T19:47:57.000Z (11 months ago)
• Last Synced: 2024-12-23T13:17:14.263Z (11 days ago)
• Topics: classification, cross-validation, data-reporting, databases, eda, grid-search, matplotlib, network-analysis, numpy, pandas, python, scikit-learn, statistics, supervised-ml, visualization
• Language: Jupyter Notebook
• Homepage:
• Size: 2.64 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
## Project(Project_Network_Analysis_Node_Link_Prediction)

### Part of the Coursera series: University of Michigan Applied Data Science

    

## Summary

Analyzed network nodes and edges, developing custom features based on various scoring metrics; used features to train classifier model to predict node attribute (employee salary type) and future edges (employee connections).

## Skills (Developed & Applied)

Programming, Python, Databases, Statistics, Numpy, Pandas, Matplotlib, Scikit-learn, Dataframes, Data Modeling, EDA, Data Visualization, Data Reporting, Classification, Supervised ML, cross validation, grid search