Fake News Detection - Misinformation Insights
Fake News Detection aims to identify and classify false information in digital news articles using machine learning, promoting authenticity and combating misinformation.
Project Overview
This project processes datasets of real and fake news to train a classification model capable of detecting misinformation. Insights are derived using exploratory data analysis and visualizations.
Key Features
- Preprocessing and cleaning of text data
- Exploratory Data Analysis (EDA) for insights
- Classification model for fake news detection
Technologies Used
- Python
- Pandas and NumPy for data manipulation
- Scikit-learn for machine learning