Fake News Detection is a natural language processing task that involves identifying and classifying news articles or other types of text as real or fake.
This project aims to build a fake news classifier using Kaggle Fake News dataset. The jupyter notebook contains the implementation of the fake news classifier with two different classifier models which are Multinomial Naive Bayes and Passive Aggressive Classifier.