https://github.com/letsdeepchat/detection-of-spammed-mail-

Detected Spammed emails from an ‘SMS spam collection dataset’ with 98% accuracy. Used NLTK and Sklearn to preprocess the text data and classification.
https://github.com/letsdeepchat/detection-of-spammed-mail-

data-science deepak deepak-chaudhari deepak14ri email-spam-filter spam-detection

Last synced: 6 months ago
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Detected Spammed emails from an ‘SMS spam collection dataset’ with 98% accuracy. Used NLTK and Sklearn to preprocess the text data and classification.

• Host: GitHub
• URL: https://github.com/letsdeepchat/detection-of-spammed-mail-
• Owner: letsdeepchat
• Created: 2019-04-10T09:16:41.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2019-04-10T09:18:42.000Z (over 6 years ago)
• Last Synced: 2025-02-12T15:41:33.126Z (8 months ago)
• Topics: data-science, deepak, deepak-chaudhari, deepak14ri, email-spam-filter, spam-detection
• Language: Jupyter Notebook
• Homepage:
• Size: 230 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# Detection-of-Spammed-mail-

Detected Spammed emails from an  ‘SMS spam collection dataset’ with 98% accuracy. Used NLTK and Sklearn to preprocess the text data and classification.