https://github.com/dmarks84/coursework_project_text-mining-spam-analysis

Project for University of Michigan Applied Data Science Specialization -- Performed NLP in order to build features of email messages; trained various classification models to help predict if a message was spam.
https://github.com/dmarks84/coursework_project_text-mining-spam-analysis

classification databases eda nlp numpy pandas python scikit seaborn sentiment-analysis statistics supervised-ml text-mining unsupervised-ml visualization

Last synced: 11 days ago
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Project for University of Michigan Applied Data Science Specialization -- Performed NLP in order to build features of email messages; trained various classification models to help predict if a message was spam.

• Host: GitHub
• URL: https://github.com/dmarks84/coursework_project_text-mining-spam-analysis
• Owner: dmarks84
• License: bsd-3-clause
• Created: 2024-01-24T19:28:26.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-01-24T19:47:32.000Z (11 months ago)
• Last Synced: 2024-12-23T13:17:13.042Z (11 days ago)
• Topics: classification, databases, eda, nlp, numpy, pandas, python, scikit, seaborn, sentiment-analysis, statistics, supervised-ml, text-mining, unsupervised-ml, visualization
• Language: Jupyter Notebook
• Homepage:
• Size: 208 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
## Project(Project_Text-Mining-Spam-Analysis)

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

    

## Summary

Performed NLP in order to build features of email messages; trained various classification models to help predict if a message was spam.

## Skills (Developed & Applied)

Programming, Python, Databases, Statistics, Numpy, Pandas, Seaborn, Scikit-learn, Dataframes, Data Modeling, EDA, Data Visualization, Data Reporting, Classification, Supervised ML, Unsupervised ML, NLP, Sentiment Analysis