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Fake News Detection with Python and PassiveAggressiveClassifier

This is my Machine Learning model created with PassiveAggressiveClassifier to detect a news as Real or Fake depending on it's contents. It uses TfidfVectorizer which converts a collection of raw documents into a matrix of TF-IDF features.

Upon running the Jupyter Notebook we get the accuracy of 93.05% which is not that great but reasonable enough! Screen Shot 2020-05-30 at 9 36 50 PM

Dataset - https://drive.google.com/file/d/1er9NJTLUA3qnRuyhfzuN0XUsoIC4a-_q/view

This is a small ML project created just for learning purposes.