【推荐】用Python/Scikit-Learn完成的斯坦福机器学习(Andrew Ng)课程习题

This project contains solutions to the Stanford Machine Learning course exercises implemented with Python and scikit-learn. The scikit-learn machine learning library provides optimized implementations for all algorithms presented in the course and needed in the course exercises. Instead of writing low-level Octave code, as required by the course, the solutions presented here demonstrate how to use scikit-learn to solve these exercises on a much higher level. It is a level that is closer to that of real-world machine learning projects. This project respects the Coursera Honor Code as the presented solutions can't be used to derive the lower-level Octave code that must be written to complete the assignments.