Full Stack Fake News Detection using machine learning with code and documents
With the advancement in technology, the consumption of news has shifted from Print media to social media. The convenience and accessibility are major factors that have contributed to this shift in consumption of the news. However, this change has bought upon a new challenge in the form of “Fake news” being spread with not much supervision available on the net. In this paper, this challenge has been addressed through a Machine learning concept. we will apply machine learning algorithms for prediction and detection of fake and real news
Front End : HTML & CSS
Back End : Python
Model : Jupyter Notebook
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