GitHub - zhuangaili/stanford-cs229: Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

This repo records my answers to all questions from the excercises of CS229 (Autumn 2017). http://cs229.stanford.edu/syllabus.html

I tried to record all details in Jupyter notebooks. If you see mistakes, please let me know.

As for reinforcement learning, I've also implemented value iteration, policy iteration, SARSA, and Q-learning before in javascript for the gridworld at https://github.com/zyxue/rljs with a web demo at https://rljs.herokuapp.com/.

You might also be interested in an earlier version of cs229, https://see.stanford.edu/Course/CS229.

This project is considered complete.

Name		Name	Last commit message	Last commit date
Latest commit History 42 Commits
Problem-set-1		Problem-set-1
Problem-set-2		Problem-set-2
Problem-set-3		Problem-set-3
Problem-set-4		Problem-set-4
.gitignore		.gitignore
Gaussian-process.ipynb		Gaussian-process.ipynb
Problem-set-0.ipynb		Problem-set-0.ipynb
README.md		README.md
notes3-support-vector-machines-SMO-algorithm.ipynb		notes3-support-vector-machines-SMO-algorithm.ipynb
notes7b-Mixtures-of-Gaussians-and-the-EM-algorithm.ipynb		notes7b-Mixtures-of-Gaussians-and-the-EM-algorithm.ipynb

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