FAKE NEWS DETECTION Using MACHINE LEARNING | Machine Learning Projects | GeeksforGeeks

Welcome to our Machine Learning Project Series! 📊🔍 Join us as we dive into the realm of media integrity, focusing on the crucial task of Fake News Detection using Machine Learning techniques.

Drawing from two distinct datasets sourced from Kaggle—one containing fake news and the other comprising genuine news—we navigate through the complex landscape of data preprocessing and feature engineering. With the aid of TF-IDF to unravel word weightage and regex functions to refine our dataset, we lay a solid foundation for our predictive model.

Join us as we explore a myriad of classification algorithms, including Logistic Regression, Decision Tree Classifier, and Random Forest Classifier, each offering unique insights into the authenticity of news articles.


📖 Related Article: https://www.geeksforgeeks.org/fake-ne...

📄 News Datasets: https://github.com/ChitranjanUpadhaya...

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