GitHub - abhishekbansal815/abhishek_repo: This is a Machine Learning project for Fake news detection. We will test whether a given news article is True or Fake based on the word frequency, cumulative term frequency, and cumulative document frequency of features in that article. We have extended this project on Bigrams and Trigrams also.

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This is a Machine Learning project for Fake news detection. We will test whether a given news article is True or Fake based on the word frequency, cumulative term frequency, and cumulative document frequency of features in that article. We have extended this project on Bigrams and Trigrams also.

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
.ipynb_checkpoints		.ipynb_checkpoints
100 + 100		100 + 100
50 +50 +100		50 +50 +100
60 + 60 + 80		60 + 60 + 80
70 + 70 + 60		70 + 70 + 60
80 + 80 + 40		80 + 80 + 40
90 + 90 + 20		90 + 90 + 20
Bigram		Bigram
Complete dataset		Complete dataset
Mid Term Report		Mid Term Report
Stray		Stray
Trigram		Trigram
Unigram		Unigram
Varying data size		Varying data size