https://github.com/debasish-dutta/spam-email-classifier

Created spam-email classifier models using both sckit-learn modules and through the normal process using probabilities
https://github.com/debasish-dutta/spam-email-classifier

data-science jupyter-notebook sckit-learn spam-email-classifier webapp

Last synced: about 2 months ago
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Created spam-email classifier models using both sckit-learn modules and through the normal process using probabilities

• Host: GitHub
• URL: https://github.com/debasish-dutta/spam-email-classifier
• Owner: debasish-dutta
• Created: 2020-07-13T13:00:53.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2022-11-22T15:26:12.000Z (about 2 years ago)
• Last Synced: 2023-03-05T12:26:14.377Z (almost 2 years ago)
• Topics: data-science, jupyter-notebook, sckit-learn, spam-email-classifier, webapp
• Language: Jupyter Notebook
• Homepage: https://spam-email--classifier.herokuapp.com/
• Size: 7.15 MB
• Stars: 1
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# spam-email-classifier

### This repo contains two notebooks which train and pre process ML models - one using traditional probability and the other using native Sckit-learn modules.

The emails are taken from [spam assassin corpus](https://spamassassin.apache.org/old/publiccorpus/) and then sorted into dataframes and then trained using the both ways.