Data Science with Kaggle Decal Spring 2017

Taught by Phillip Kuznetsov, Raul Puri, Humza Iqbal, James Bartlett, Dan Geng, Jordan Prosky

Data Science Decal taught at UC Berkeley Spring Semester 2017

To get started on the coursework, you'll first need to clone the repo:

cd <desired-directory>
git clone https://github.com/kaggledecal/sp17.git kaggledecal

Then you'll want to start a jupyter server from within this repo.

cd kaggledecal
jupyter notebook

Setting up your environment

If you have not yet installed jupyter on your machine, you'll probably get an error message when you run the above command.

Mac OS 10.10+, Linux, and Windows 10

Use Docker.

Windows < 10 and Mac OS < 10.10

Anaconda.

What should I use?

Choosing either package is to your discretion; we encourage Docker because it will allow you to quickly prototype papers like Style Transfer, (paper).