20 News Group Text Classification Project

This project focuses on the classification of news articles into distinct topics using various data science techniques. The dataset comprises 20 article categories with the objective of accurately categorizing articles into their respective classes. The project employs machine learning models, feature engineering, and preprocessing strategies to enhance classification accuracy.