Fake News Detector project (Machine Learning, NLP, GenAI)
Built and trained a fake news detection text classifier using NLP and machine learning. Performed text preprocessing and exploratory data analysis on a news dataset to support model development. Used TF-IDF feature extraction and evaluated classification approaches for distinguishing fake vs. real news.• Collected and prepared labeled text samples for supervised learning.• Cleaned and normalized raw news text for analysis and modeling.• Applied TF-IDF feature extraction to represent documents.• Trained Logistic Regression and Random Forest models for classification.