Machine Learning

Jamid & Musytaq Classification

Jamid & Musytaq Classification is a machine learning project focused on classifying Arabic words into Jamid and Musytaq categories. The project involves a complete machine learning workflow, including text preprocessing, feature preparation, model training, and performance evaluation. Through this project, I explored how deep learning and text processing techniques can be applied to Arabic linguistic data to support more consistent analysis of word patterns. The project also emphasizes evaluation using classification metrics to understand model performance and improve decision-making based on experimental results.