[CS229-Fall2018] Full Course

1. Introduction

Here is documentations that related to CS229-Fall2018 Course:

1. Full Problem Set
2. Full Problem Set Solution (Theory Problem & Coding Problem)
3. Understanding Some Function (Functions that confuse you)
4. Notes (Main notes and Auxiliary notes)
5. Syllabus of this course
6. Reference Solution (From maxim5)
7. Tests (Midterm Test/Final Test)

All of the Problem Set Solution and new Knowledge will be updated continuously.

Thanks to maxim5 for providing the documentation background and some solutions to the problem sets.

2. Set-up Environment for Coding Parts

1. Install Miniconda

• Conda is a package manager that sandboxes your project’s dependencies in a virtual environment
• Miniconda contains Conda and its dependencies with no extra packages by default (as opposed to Anaconda, which installs some extra packages)

2. Run conda env create -f environment.yml

• This creates a Conda environment called cs229

3. Run source activate cs229

• This activates the cs229 environment
• Do this each time you want to write/test your code

4. (Optional) If you use PyCharm:

• Open the src directory in PyCharm
• Go to PyCharm > Preferences > Project > Project interpreter
• Click the gear in the top-right corner, then Add
• Select Conda environment > Existing environment > Button on the right with …
• Select /Users/YOUR_USERNAME/miniconda3/envs/cs229/bin/python
• Select OK then Apply

3. CS229 Fall 2018

All lecture notes, slides and assignments for CS229: Machine Learning course by Stanford University.

All video of the CS229-Fall2018 Course are available on YouTube.