https://github.com/elmezianech/email-spam-ham-classifier-lr

Email Classifier: A machine learning project using Python that categorizes emails into spam and ham (non-spam). Utilizes the Scikit-Learn library, employing logistic regression and TF-IDF (Term Frequency-Inverse Document Frequency) vectorization for text analysis and classification.
https://github.com/elmezianech/email-spam-ham-classifier-lr

ai emails jupyter-notebook logistic-regression machine-learning ml numpy pandas python spam-detection spam-filtering tfidfvectorizer

Last synced: about 8 hours ago
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Email Classifier: A machine learning project using Python that categorizes emails into spam and ham (non-spam). Utilizes the Scikit-Learn library, employing logistic regression and TF-IDF (Term Frequency-Inverse Document Frequency) vectorization for text analysis and classification.

• Host: GitHub
• URL: https://github.com/elmezianech/email-spam-ham-classifier-lr
• Owner: elmezianech
• Created: 2023-11-13T21:18:57.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-11-13T21:27:19.000Z (about 1 year ago)
• Last Synced: 2023-11-13T22:29:03.719Z (about 1 year ago)
• Topics: ai, emails, jupyter-notebook, logistic-regression, machine-learning, ml, numpy, pandas, python, spam-detection, spam-filtering, tfidfvectorizer
• Language: Jupyter Notebook
• Homepage:
• Size: 7.81 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Email-Spam-Ham-Classifier-LR

Email Classifier: A machine learning project using Python that categorizes emails into spam and ham (non-spam). Utilizes the Scikit-Learn library, employing logistic regression and TF-IDF (Term Frequency-Inverse Document Frequency) vectorization for text analysis and classification.

This project used the "Email Dataset for Spam Detection" sourced from Kaggle. The dataset contains a collection of emails labeled as spam and ham for training and testing the classifier.

Link: https://www.kaggle.com/datasets/bhaskarreddy072/mail-datacsv