HuangCongQing/MachineLearning_Ng

吴恩达机器学习coursera课程,学习代码(2017年秋) The Stanford Coursera course on MachineLearning with Andrew Ng

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This project provides the practical code implementations and course notes for Andrew Ng's foundational machine learning course on Coursera. It helps students understand core machine learning algorithms by providing working examples. Learners can follow along with the course content, examine how algorithms like linear regression, neural networks, and k-means clustering are built, and apply these concepts.

272 stars. No commits in the last 6 months.

Use this if you are a student or aspiring data scientist looking for practical code examples and notes to accompany Andrew Ng's Machine Learning course, reinforcing your theoretical understanding with hands-on implementation.

Not ideal if you are an experienced machine learning practitioner seeking advanced topics, cutting-edge research implementations, or a production-ready library.

Machine Learning Education Data Science Learning Algorithm Implementation Supervised Learning Unsupervised Learning
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 24 / 25

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Stars

272

Forks

108

Language

Jupyter Notebook

License

AGPL-3.0

Last pushed

May 11, 2020

Commits (30d)

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