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Comprehensive machine learning coursework covering fundamentals, supervised/unsupervised learning, NLP, recommender systems, feature engineering, deep learning, and MLOps. Includes hands-on Jupyter notebooks, datasets, and practical implementations with TensorFlow, Keras, and Scikit-learn.