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This coursework offers a comprehensive introduction to Machine Learning, exploring its history, evolution, and applications across industries. It delves into primary learning paradigms, including Supervised Learning with regression and classification algorithms such as Decision Trees and SVM, Unsupervised Learning's clustering and dimensionality reduction methods, and Reinforcement Learning with its applications in AI fields like robotics and gaming. Additionally, it covers Deep Learning...