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The document outlines a comprehensive roadmap for becoming a professional in machine learning, divided into phases covering foundational mathematics, programming skills, data handling, core algorithms, model evaluation, advanced techniques, deep learning, specializations, tools, project work, and interview preparation. Each phase includes essential topics, practical skills, and recommended projects to build expertise. It emphasizes the importance of hands-on experience and continuous learning throughout the

Author

parthkariya3010

Language

EN