Fake News Detection

• Tech Stack: sklearn, matplotlib, seaborn, numpy, pandas, Python, jupyter
• Github URL: Project Link

Designed and implemented a Fake News Detection project using Machine Learning techniques. Created a system capable of distinguishing between genuine and fabricated news articles by analyzing text content and features.

Robust data cleaning processes were employed to ensure the quality and accuracy of the dataset. By conducting comprehensive data cleaning, the project set a strong foundation for the subsequent machine learning phases, ultimately improving the reliability and effectiveness of the fake news detection model.