https://github.com/gokulnpc/fake-news-prediction

This web app is a fake news prediction tool. It uses a machine learning model to predict whether a given news is fake or not. The model is trained on a dataset of news articles and their labels. The model uses a logistic regression algorithm to make predictions.
https://github.com/gokulnpc/fake-news-prediction

fake-news-detection logistic-regression machine-learning regression-models streamlit

Last synced: about 2 months ago
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This web app is a fake news prediction tool. It uses a machine learning model to predict whether a given news is fake or not. The model is trained on a dataset of news articles and their labels. The model uses a logistic regression algorithm to make predictions.

• Host: GitHub
• URL: https://github.com/gokulnpc/fake-news-prediction
• Owner: gokulnpc
• Created: 2024-03-16T10:46:38.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-03-16T10:56:41.000Z (about 1 year ago)
• Last Synced: 2025-02-02T03:44:53.368Z (4 months ago)
• Topics: fake-news-detection, logistic-regression, machine-learning, regression-models, streamlit
• Language: Jupyter Notebook
• Homepage: https://fake-news-prediction-gokulnpc.streamlit.app/
• Size: 45.2 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Fake News Prediction

This web app is a fake news prediction tool. It uses a machine learning model to predict whether a given news is fake or not. The model is trained on a dataset of news articles and their labels. The model uses a logistic regression algorithm to make predictions.