https://github.com/sabin74/spam_mail_detection
A machine learning project to classify SMS messages as Spam or Ham (Not Spam) using Natural Language Processing (NLP) techniques and Scikit-learn. This binary classification task uses the UCI SMS Spam Collection Dataset and implements various models including Naive Bayes, SVM, and Logistic Regression with performance tuning.
https://github.com/sabin74/spam_mail_detection
gridsearchcv nltk python scikit-learn smote sms-spam-detection uci-machine-learning
Last synced: 4 months ago
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A machine learning project to classify SMS messages as Spam or Ham (Not Spam) using Natural Language Processing (NLP) techniques and Scikit-learn. This binary classification task uses the UCI SMS Spam Collection Dataset and implements various models including Naive Bayes, SVM, and Logistic Regression with performance tuning.
- Host: GitHub
- URL: https://github.com/sabin74/spam_mail_detection
- Owner: sabin74
- Created: 2025-06-12T15:39:22.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-06-12T15:50:04.000Z (4 months ago)
- Last Synced: 2025-06-12T16:49:50.552Z (4 months ago)
- Topics: gridsearchcv, nltk, python, scikit-learn, smote, sms-spam-detection, uci-machine-learning
- Language: Jupyter Notebook
- Homepage: https://archive.ics.uci.edu/dataset/228/sms+spam+collection
- Size: 394 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md