https://github.com/parvvaresh/email-spam-detection
This project focuses on detecting Persian spam emails using machine learning algorithms. The goal is to develop an effective spam detection system using various word embedding techniques and classification algorithms. The project utilizes three word embedding algorithms: TF-IDF, Frequency of Words, and Bag of Words. Additionally, six classification
https://github.com/parvvaresh/email-spam-detection
chi2 decision-trees freq freq-word hazm knn logistic-regression machine-learning naive-bayes-classifier numpy pandas pre-processing python python3 random-forest svm tf-idf
Last synced: 6 months ago
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This project focuses on detecting Persian spam emails using machine learning algorithms. The goal is to develop an effective spam detection system using various word embedding techniques and classification algorithms. The project utilizes three word embedding algorithms: TF-IDF, Frequency of Words, and Bag of Words. Additionally, six classification
- Host: GitHub
- URL: https://github.com/parvvaresh/email-spam-detection
- Owner: parvvaresh
- Created: 2023-03-16T04:32:34.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-12-27T18:34:06.000Z (almost 2 years ago)
- Last Synced: 2023-12-27T21:09:03.087Z (almost 2 years ago)
- Topics: chi2, decision-trees, freq, freq-word, hazm, knn, logistic-regression, machine-learning, naive-bayes-classifier, numpy, pandas, pre-processing, python, python3, random-forest, svm, tf-idf
- Language: Python
- Homepage:
- Size: 4.31 MB
- Stars: 11
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md