https://github.com/negativenagesh/spam-ham_email_detection_machine_learning

This project focuses on classifying spam/ham emails, using machine learning algorithms like LGR, NB, RF, DT etc.. and based on the accuracy score and precision score I chose logistic regression for the classification. And I have used streamlit for frontend.
https://github.com/negativenagesh/spam-ham_email_detection_machine_learning

app data-analysis data-cleaning data-engineering data-science data-visualization data-visualizations jupyter-notebook logistic-regression machine-learning modeling naive-bayes-classifier nlp python

Last synced: 4 days ago
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This project focuses on classifying spam/ham emails, using machine learning algorithms like LGR, NB, RF, DT etc.. and based on the accuracy score and precision score I chose logistic regression for the classification. And I have used streamlit for frontend.

• Host: GitHub
• URL: https://github.com/negativenagesh/spam-ham_email_detection_machine_learning
• Owner: negativenagesh
• Created: 2024-07-04T16:47:58.000Z (6 months ago)
• Default Branch: master
• Last Pushed: 2024-07-20T07:59:23.000Z (5 months ago)
• Last Synced: 2024-11-05T14:27:37.718Z (about 2 months ago)
• Topics: app, data-analysis, data-cleaning, data-engineering, data-science, data-visualization, data-visualizations, jupyter-notebook, logistic-regression, machine-learning, modeling, naive-bayes-classifier, nlp, python
• Language: Jupyter Notebook
• Homepage:
• Size: 1.91 MB
• Stars: 4
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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