A comprehensive ML guide with 22 hands-on projects—from data exploration to distributed training. Covers CNNs, NLP, GANs, recommender systems, MLOps, and federated learning. Includes a 10-week curriculum. Built during my PhD at Wayne State University.
machine-learning natural-language-processing deep-learning scikit-learn transformer portfolio-project distributed-machine-learning ml-ops-workflow
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Updated
Jan 5, 2026 - Jupyter Notebook