1)Project Title & Overview
Fake vs True News Detection system using Python, TF-IDF, and PassiveAggressiveClassifier.
2)Dataset
Full dataset available via Google Drive: /FakeNewsData/True.csv.zip and Fake.csv.zip
3)Steps Performed
Data labeling, merging, EDA & visualizations
TF-IDF feature extraction
Model training & evaluation
Top words analysis
Prediction function with confidence
4)Usage
Mount Google Drive in Colab
Load full datasets
Run all notebook cells to train and predict
5)Results / Insights
Accuracy, confusion matrix, top predictive words, sample predictions