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Machine-Learning-Specialization-Coursera

andrew-ng andrew-ng-machine-learning coursera coursera-assignment coursera-specialization decision-trees deep-learning linear-regression logistic-regression machine-learning mooc neural-network python recommendation-system solutions supervised-machine-learning tensorflow unsupervised-learning unsupervised-machine-learning

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Project last updated:12/28/25

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MIT

Why we included this project

Working through Andrew Ng's Machine Learning Specialization on Coursera, learners often get stuck on a weekly programming assignment or optional lab. This repository collects solved notebooks, quiz answers, and course notes for all three courses, organized by week, so you can check your own implementation before submitting or see how gradient descent, feature scaling, and cost functions actually look in NumPy and TensorFlow. The notes also work well as a review resource before an exam, or for revisiting a single concept without rewatching the lectures. Just treat it as study material, not production code: the value is in understanding the solutions, not shipping them.

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