Machine learning Based Minor Project, which uses various classification Algorithms to classify the news into FAKE/REAL, on the basis of their Title and Body-Content. Data has been collected from 3 different sources and uses algorithms like Random Forest, SVM, Wordtovec and Logistic Regression. It gave 94% accuracy.
random-forest guardian svm machine-learning-algorithms fake ipynb logistic-regression word2vec-model webscraping classification-algorithm nyt xgboost-algorithm scrap-data
-
Updated
Jan 9, 2019 - Jupyter Notebook