SrirajBehera/Machine-Learning-Andrew-Ng
Full Notes of Andrew Ng's Coursera Machine Learning.
This resource provides comprehensive notes and materials for Andrew Ng's popular Machine Learning course. It distills complex concepts like hypothesis functions, cost functions, and gradient descent into understandable explanations, often accompanied by code snippets and visual aids. Students and self-learners looking to grasp the foundational principles of machine learning would find this extremely beneficial.
266 stars. No commits in the last 6 months.
Use this if you are studying Andrew Ng's Machine Learning course and need detailed notes, explanations of core concepts, programming exercise solutions, or supplementary resources to deepen your understanding.
Not ideal if you are looking for a complete, interactive course experience or advanced machine learning topics beyond the introductory level.
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MATLAB
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MIT
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Aug 13, 2021
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