hujinsen/python-machine-learning
吴恩达（Andrew Ng）在coursera的机器学习课程习题的python实现
This project provides practical, step-by-step examples of core machine learning algorithms implemented in Python. It takes raw numerical data as input and produces insights like predictions, classifications, or groupings. Beginners interested in understanding how foundational AI models work from the ground up would find this useful.
136 stars. No commits in the last 6 months.
Use this if you are learning machine learning and want to see the underlying Python code for fundamental algorithms like linear regression, logistic regression, or K-Means clustering.
Not ideal if you need ready-to-use, highly optimized machine learning solutions for complex, real-world problems or if you are not interested in the code implementation details.
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136
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MIT
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Last pushed
Jun 23, 2019
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