Project name: Fake News Detection
You can find the datasets that I've used in this project from link below:
https://drive.google.com/drive/folders/1Tx2ALx7S2rVFuZG31L_u3HqjojvbNArb?usp=sharing
Software Requirement - Programming language – Python (latest version is recommended) Libraries - Pandas & Numpy & Seaborn library
Project Description: In this Python Project, my aim is to develop a machine learning program to identify when a news source may be producing fake news. I used a corpus of labelled real and fake articles to build a classifier that can make decisions about information based on the content from the corpus. Our model focuses on identifying sources of fake news, based on multiple articles originating from a source. Once a source is labelled as a producer of fake news, we predict that all future articles from the same source are also a producer of fake news.
What development tools that I used in my project: Python 3.9 Google Collab Numpy & Pandas (main) and other deep learning libraries Open source datasets (.csv file)