These materials are for my General Assembly Data Science masterclass. This is usually 6-8hrs in a weekend, and intended to get folks' feet wet with thinking about code+math.
The masterclass uses Google collab to get around the annoying local install of Conda, etc. If you want to work through these resources on your own, you'll need to either download the Anaconda distribution or set up Collab in your google drive.
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated, particularly from previous students!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request