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https://github.com/bitwalls-ops/illegitimate-and-spam-news-detection-using-flask-app
Machine learning model to detect fake and legitimate news and deployed using flask
https://github.com/bitwalls-ops/illegitimate-and-spam-news-detection-using-flask-app
ai algorithms deep-learning detection-model flask jupyter-notebook machine-learning machine-learning-algorithms model news python pythonlib spam-classification spam-detection spam-filtering
Last synced: about 2 months ago
JSON representation
Machine learning model to detect fake and legitimate news and deployed using flask
- Host: GitHub
- URL: https://github.com/bitwalls-ops/illegitimate-and-spam-news-detection-using-flask-app
- Owner: BitWalls-ops
- Created: 2022-04-02T07:19:04.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-04-02T07:24:07.000Z (over 2 years ago)
- Last Synced: 2023-03-31T15:47:02.325Z (almost 2 years ago)
- Topics: ai, algorithms, deep-learning, detection-model, flask, jupyter-notebook, machine-learning, machine-learning-algorithms, model, news, python, pythonlib, spam-classification, spam-detection, spam-filtering
- Language: Jupyter Notebook
- Homepage:
- Size: 15.9 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0