GitHub / prankur16shukla / Fake_News_Classifier
In this project, we will be creating a Fake news classifier model that will classify the news based on the 'title' and 'text', whether it is 'Real' or 'Fake'. The dataset that we are using here is taken from www.kaggle.com.
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PURL: pkg:github/prankur16shukla/Fake_News_Classifier
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 1.24 MB
Dependencies parsed at: Pending
Created at: almost 4 years ago
Updated at: almost 4 years ago
Pushed at: almost 4 years ago
Last synced at: 3 months ago
Topics: accuracy-score, bag-of-words, confusion-matrix, matplotlib-pyplot, multinomial-naive-bayes, numpy, pandas, passive-aggressive-classifier, regex, stemming, tf-idf