https://github.com/trilokida/smsspam_filtering

https://github.com/trilokida/smsspam_filtering

classifier countvectorizer email knn machine-learning naive-bayes-classifier python3 scikit-learn sms spam tfidf-vectorizer

Last synced: 13 days ago
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• Host: GitHub
• URL: https://github.com/trilokida/smsspam_filtering
• Owner: TrilokiDA
• Created: 2018-08-29T13:28:01.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-09-05T03:21:43.000Z (over 6 years ago)
• Last Synced: 2024-11-16T10:13:55.937Z (2 months ago)
• Topics: classifier, countvectorizer, email, knn, machine-learning, naive-bayes-classifier, python3, scikit-learn, sms, spam, tfidf-vectorizer
• Language: Jupyter Notebook
• Size: 238 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# SmsSpam_Filtering

**An implementation of a Spam Filter in Python that uses the Naive Bayes and KNN Model to classify emails as spam or ham.**

## Classifiers:-

**Naive Bayes:**

- BernoulliNB

- MultinomialNB

- GaussianNB

**KNN:**

- With k=5

**Feature Extraction:**

- CountVectorizer

- TfidfVectorizer