https://github.com/dmarks84/coursework_project_ml-classifier-eval-selection

Project for University of Michigan Applied Data Science Specialization -- Predicted viewer engagement based on features related to video metrics; evaluated a large set of classifiers under different scoring metrics to select the "optimal" one.
https://github.com/dmarks84/coursework_project_ml-classifier-eval-selection

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

Last synced: 11 days ago
JSON representation

Project for University of Michigan Applied Data Science Specialization -- Predicted viewer engagement based on features related to video metrics; evaluated a large set of classifiers under different scoring metrics to select the "optimal" one.

• Host: GitHub
• URL: https://github.com/dmarks84/coursework_project_ml-classifier-eval-selection
• Owner: dmarks84
• License: bsd-3-clause
• Created: 2024-01-24T19:07:20.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-01-24T19:47:53.000Z (11 months ago)
• Last Synced: 2024-12-23T13:17:14.212Z (11 days ago)
• Topics: classification, cross-validation, data-modeling, data-reporting, data-visualization, databases, dataframes, eda, grid-search, matplotlib, numpy, pandas, python, scikit-learn, statistics, supervised-ml
• Language: Jupyter Notebook
• Homepage:
• Size: 464 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
## Project(Project_ML-Classifier-Eval-Selection)

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

    

## Summary

Predicted viewer engagement based on features related to video metrics; evaluated a large set of classifiers under different scoring metrics to select the "optimal" one.

## 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