News Classification Project

News Classification Project Using NLP and Machine Learning

This project focuses on automatically classifying news articles into different categories using Natural Language Processing (NLP) and Machine Learning techniques. The workflow included text preprocessing, tokenization, feature extraction, and model training to accurately identify the category of each news article. Various machine learning algorithms were evaluated to improve classification performance and accuracy. The project demonstrates my skills in data preprocessing, text analysis, machine learning model development, and applying NLP techniques to solve real-world problems.