This project builds a machine learning model to detect fake news by classifying text as real or fake. Using NLP for preprocessing and TF-IDF for feature extraction, models such as Logistic Regression are trained and evaluated with accuracy metrics to help combat misinformation online.
Dataset is too large to store directly in this repository. Download it from the following link:
Google Drive: https://drive.google.com/file/d/136ATf0HIJ4kNstgqM5JLBiehtMbz15M_/view?usp=sharing