Implemented a machine learning model to detect fake news using Natural Language Processing techniques like TF-IDF and stemming. Trained multiple classifiers including Logistic Regression and PassiveAggressiveClassifier for accurate classification. This project showcases practical NLP skills for tackling misinformation in media.
python nlp machine-learning natural-language-processing text-classification scikit-learn jupyter-notebook seaborn logistic-regression stemming stopwords-removal tfidf-text-analysis googlecolab passive-aggressive-classifier textvectorization matplotib tfidfvectorization
-
Updated
May 24, 2025 - Jupyter Notebook