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https://github.com/taeefnajib/fake-news-detection-using-naive-bayes
We have created a model to determine if a piece of news is fake or not, based on its title. We have used 3 Naïve Bayes algorithms, namely Gaussian, Bernoulli and Multinomial.
https://github.com/taeefnajib/fake-news-detection-using-naive-bayes
classification data-science fake-news machine-learning naive-bayes-classifier python
Last synced: about 15 hours ago
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We have created a model to determine if a piece of news is fake or not, based on its title. We have used 3 Naïve Bayes algorithms, namely Gaussian, Bernoulli and Multinomial.
- Host: GitHub
- URL: https://github.com/taeefnajib/fake-news-detection-using-naive-bayes
- Owner: taeefnajib
- Created: 2022-04-01T22:39:40.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2022-04-05T20:48:53.000Z (almost 3 years ago)
- Last Synced: 2023-08-30T16:30:54.796Z (over 1 year ago)
- Topics: classification, data-science, fake-news, machine-learning, naive-bayes-classifier, python
- Language: Jupyter Notebook
- Homepage:
- Size: 132 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0