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patrickloeber/ml-study-plan

A curated guide of free resources for learning machine learning from prerequisites to applied projects.

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A structured study plan guiding learners through the path to becoming a Machine Learning Engineer. It provides links to free courses covering prerequisites like calculus and linear algebra, fundamentals of statistics and Python, core ML algorithms, deep learning, and hands-on projects including Kaggle competitions.

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