Harivenkat R的动态

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Trying to get better than yesterday!

Spam mail classification involves sorting emails into categories like promotional, phishing, or malicious ??. It uses algorithms to analyze content, sender reputation, and user behavior to determine if an email is unwanted ??. Effective classification helps reduce inbox clutter and protects users from potential threats ??. I have created a Spam mail classification model using Support Vector Machine. It has an accuracy of 98.5%. Check the Github link below. Github link: https://lnkd.in/etFkvvT4

projects/spam_mail_pred.ipynb at main · hari8github/projects

projects/spam_mail_pred.ipynb at main · hari8github/projects

github.com

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