GitHub / pratham3012 / Fake-News-Detector
This advanced python project of detecting fake news deals with fake and real news. Using sklearn, we build a TfidfVectorizer on our dataset. Then, we initialize a PassiveAggressive Classifier and fit the model. In the end, the accuracy score and the confusion matrix tell us how well our model fares.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pratham3012%2FFake-News-Detector
PURL: pkg:github/pratham3012/Fake-News-Detector
Stars: 1
Forks: 3
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 11 MB
Dependencies parsed at: Pending
Created at: over 4 years ago
Updated at: almost 4 years ago
Pushed at: almost 4 years ago
Last synced at: over 2 years ago
Topics: fake-news, machine-learning, passive-aggressive-classifier, tfidf-vectorizer