The repo records my solutions to all assignments and projects of Stanford CS229 Fall 2017.

One of many my self-studied courses. You can also check out some of them via belowing links:

• CS224n Natural Language Processing with Deep Learning, Stanford
• CS224w Machine Learning with Graphs, Stanford

It's the open Internet and the great and kind minds that makes a glance at the beautiful knowledge world possible for us navigators.

Thousand Thanks to those kind and cool people!

The main learning materials are Fall 2018 class notes and CS229 open course videos.

You can open a new issue or send me a email if you find any mistakes.

The course page is here. http://cs229.stanford.edu/syllabus.html

• Assignment #1 (😄)
  • problem set: ps1
  • solution: link
  • source code: link
• Assignment #2 (😄)
  • problem set: ps2
  • solution: link
  • source code:
    • Logistic Regression: Training stability
    • Spam classification: Naive Bayes
• Assignment #3 (😄)
  • problem set: ps3
  • solution: link
  • source code: - K-means: Image Compression
• Assignment #4 (😄)
  • problem set: ps4
  • solution: link
  • source code:
    • BP Neural Network
    • ICP
    • MDP
• Project
  • I'll try to solve one of problems in kaggle competition and take it as my class projcet. More details can be seen in my repository.

VS Code
Python 3.6.4
PyTorch 1.0.0
Tex Live 2018