Fake-News-Detection and Fake-News-Detection-using-Machine-Learning
These two tools are competitors, as both are independent machine learning projects designed to detect fake news using similar algorithms like Logistic Regression and Random Forest, meaning a user would typically choose one over the other rather than using them in conjunction.
About Fake-News-Detection
kapilsinghnegi/Fake-News-Detection
This project detects whether a news is fake or not using machine learning.
This project helps journalists, researchers, or anyone processing news identify misinformation. You input a news article, and it tells you if the article is likely fake or genuine. This is ideal for content moderators, fact-checkers, or media analysts who need to quickly assess the authenticity of news.
About Fake-News-Detection-using-Machine-Learning
AtharvaKulkarniIT/Fake-News-Detection-using-Machine-Learning
This repository hosts a Jupyter notebook for Fake News Detection, utilizing machine learning algorithms like Logistic Regression , Gradient Boosting Classifier , Random Forest and Decision Tree. The project covers data preprocessing, analysis and manual testing of news articles, with added multi language support using Google Translate API .
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