This project uses XGBoost, a gradient boosting algorithm, for fake news detection, coupled with NLP techniques for preprocessing text. The XGBoost model improves classification by handling unstructured text data more effectively, applying a boosting strategy that combines weak models to form a stronger and more accurate classifier.
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