greyhatguy007/Machine-Learning-Specialization-Coursera resource

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7821 stars · 3731 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A collection of solutions and notes for the Machine Learning Specialization by Stanford University and DeepLearning.AI on Coursera, taught by Andrew Ng. It organizes quizzes, labs, and assignments as Jupyter notebooks covering regression, classification, neural networks, decision trees, unsupervised learning, and recommender systems.

Use cases

• find solutions for Andrew Ng machine learning specialization assignments
• study notes for supervised machine learning course
• practice gradient descent and linear regression in Jupyter notebooks
• learn neural networks and decision trees with worked examples
• review unsupervised learning and recommender system labs
• prepare for Coursera machine learning quizzes

When to choose

• you are enrolled in the Machine Learning Specialization and want reference solutions or notes
• you want hands-on Jupyter notebook examples of core ML concepts
• you prefer following Andrew Ng's curriculum with Python and TensorFlow

When to avoid

• you need production machine learning code or a library
• you want to submit copied solutions without doing assignments yourself
• you need advanced or research-level ML material beyond the course scope

Facets

learning-resource · maturity active

machine-learning deep-learning data-science machine-learning deep-learning tutorials education python coursera andrew-ng jupyter-notebooks course-solutions mooc study-notes

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