📰 Fake News Detector using NLP & Machine Learning

📌 Project Overview

This project builds a Fake News Detection model using the ISOT Fake News Dataset.
It uses Natural Language Processing (NLP) and a Logistic Regression classifier to distinguish between real and fake news articles.

✅ Key Steps

• Data cleaning & preprocessing
• Text vectorization using TF-IDF
• Machine Learning model (Logistic Regression)
• Evaluation & testing with new examples

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📊 Dataset

We used the ISOT Fake News Dataset from Kaggle.

• Fake.csv → Fake news articles
• True.csv → Real news articles

They were merged into a single dataset with a binary label (1 = Fake, 0 = Real).

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🚀 How to Run

1️⃣ Clone the repository

git clone https://github.com/your-username/fake-news-detector.git
cd fake-news-detector