The fake news dataset is one of the classic text analytics datasets available on Kaggle. It consists of genuine and fake article titles and text from different authors. In this project, work with this real-world dataset to develop a fake news detection model. Learn how to clean and preprocess text data, extract meaningful features, train a classification model, and evaluate its performance. The project is designed to be completed in approximately 10 hours.
This project was created by SkillUp Online. We are pleased to host this training in our library.
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