Task: Fake News Detection / Classification

Steps Involved:-

• Data Collected from kaggle
• Data Exploration and manipulation using Pandas
• Text preprocessing using nltk
• Text to Vectors using TFIDF Vectorizer
• Model Building
• Model Evaluation
• Improvement

Model: Support Vector Classifier

1. Training Accuracy: 99.86%
2. Testing Accuracy: 98.46%
3. Precision: 97.45%
4. Recall: 98.67%

Dataset Link