https://github.com/hadialkari/detecting-fake-news-with-python-and-data-science
This project detects fake news using Python. It employs TF-IDF vectorization, SMOTE for class balancing, and classifiers like Passive Aggressive Classifier, Linear SVC, and Multinomial Naive Bayes An ensemble model enhances accuracy The model is evaluated with confusion matrices and classification reports and the final model is saved for future use
https://github.com/hadialkari/detecting-fake-news-with-python-and-data-science
data-science jupyter juypter-notebook python
Last synced: 3 months ago
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This project detects fake news using Python. It employs TF-IDF vectorization, SMOTE for class balancing, and classifiers like Passive Aggressive Classifier, Linear SVC, and Multinomial Naive Bayes An ensemble model enhances accuracy The model is evaluated with confusion matrices and classification reports and the final model is saved for future use
- Host: GitHub
- URL: https://github.com/hadialkari/detecting-fake-news-with-python-and-data-science
- Owner: hadialkari
- Created: 2024-08-28T12:16:51.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-08-28T12:18:45.000Z (almost 2 years ago)
- Last Synced: 2025-02-09T13:36:40.055Z (over 1 year ago)
- Topics: data-science, jupyter, juypter-notebook, python
- Language: Jupyter Notebook
- Homepage:
- Size: 20.5 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Changelog: news.csv