Shypd.aiThe largest open index of AI toolsML-Roadmap-for-2022 is a curated list of machine learning resources, including videos, links, projects, and datasets. It helps users conquer the ML landscape in 6 months through structured learning levels.
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ML-Roadmap-for-2022 offers a comprehensive and curated list of resources for individuals looking to master machine learning within a six-month timeframe. This GitHub repository provides a structured learning path, starting from foundational concepts like Python programming, data manipulation with Numpy and Pandas, and data visualization, all the way to advanced machine learning algorithms and practical applications. The roadmap is divided into distinct levels: 'Testing the waters,' 'Gaining Conceptual depth,' and 'Learning Practical Concepts,' each with estimated completion times. It includes links to numerous YouTube playlists, practice problems, and Kaggle datasets, making it an invaluable resource for self-paced learning and practical skill development in machine learning.
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