pskalbhav1/ML-IEEESBM
Official repository of IEEE SBM containing resources for advancing in the domain of Machine Learning.
This is a curated list of educational resources for anyone new to Machine Learning. It provides links to tutorials, documentation, courses, and project ideas covering foundational Python, data handling with Numpy and Pandas, visualization with Matplotlib, core ML with Scikit-learn, and more advanced topics like deep learning and natural language processing. The target user is an aspiring data scientist, machine learning engineer, or anyone interested in learning to build intelligent systems.
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Use this if you are a beginner looking for a structured path and comprehensive resources to learn machine learning from scratch.
Not ideal if you are an experienced machine learning practitioner seeking advanced research papers or solutions to very specific, niche problems.
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Jan 26, 2022
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