Fake News Classifier

This repository contains a fake news detection system using the Random Forest machine learning algorithm.

Overview

The system employs the Random Forest classifier to classify news articles as either real or fake based on the content of the articles.

Dataset

The training data is stored in Fake News Detection Dataset.csv, which contains labeled news articles (real or fake).

Repository Files

• Fake News Detection Dataset.csv: Dataset containing labeled news articles.
• prime.ipynb: Python script for the fake news detection system.
• README.md: This file, providing an overview of the repository.

Dependencies

• Jupter
• pandas
• scikit-learn
• seaborn
• matplotlib