yoyoyohamapi/mit-ml
斯坦福机器学习完整 python 实现
This provides Python implementations of machine learning algorithms from Andrew Ng's Stanford/Coursera course. It helps students, data science learners, and machine learning practitioners deepen their understanding of core algorithms. You'll find full Python code for topics like linear regression, neural networks, and K-Means, rather than fill-in-the-blank homework solutions.
609 stars. No commits in the last 6 months.
Use this if you are a student or practitioner looking for complete, ground-up Python code examples to solidify your understanding of fundamental machine learning algorithms taught in a classic introductory course.
Not ideal if you are looking for pre-built, production-ready machine learning libraries or solutions to specific real-world business problems.
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609
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Python
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Last pushed
Jan 11, 2018
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