comparative-analysis-of-Machine-Learning-ML-and-Deep-Learning-DL- Muzammil592 · COMPLETED

This project compares ML and DL models for text classification using the BBC News dataset. SVM achieved the highest accuracy at 97.65%, outperforming GRU+Attention (94.97%) and CNN (91.61%). Results show that for smaller datasets, traditional ML with TF-IDF is faster and more effective than complex deep learning.

github.com/Muzammil592/comparative-analysis-of-Machine-Learning-ML-and-Deep-Learning-DL- · ★ 1 · Forks 0 · Size 49.5 MB

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