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machine-learning

Extensive Resources for Independent Machine Learning Studies

Product DescriptionThis repository provides a comprehensive array of resources for individuals pursuing self-directed learning in machine learning. By utilizing publicly shared online lectures and blogs, it supports independent learners. The repository includes a curated selection of video lectures on Python programming, data analysis, visualization, and foundational math concepts, featuring both beginner and advanced topics from prominent platforms and educators like Andrew Ng and Stanford. It also includes practical tutorials for tools such as Scikit-Learn and PyTorch, promoting a gradual and effective learning of machine learning methods.
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