Project Details

• Category: Machine Learning | Data Cleaning | Data Extraction
• Client: ML Course Project
• Project date: 01 July, 2021
• Project URL: GitHub

This project aims to develop a machine learning system that can detect and classify fake news artcles by analyzing thier content and structure. The system will use supervised learning algorithms such as Support Vector Machines, Passive Aggressive Analyzer, K-Nearest Neighbour and LOgistic Regression to detect and classify fake news articles. The system will be trained on a dataset of labeled fake news and real news artcles and will be tested on dataset of unseen articles. The aim of the project is to accuartely detect and classify fake news articles in order to reduce the spread of false information.