- Fork this repo!
- Install conda: https://conda.io/projects/conda/en/latest/user-guide/install/index.html
- If you already have
conda
installed, make sure yourbase
env is up-to-date by running:conda update -n base conda
- Create
conda
environment:conda env create --file ./environment.yaml
- Register for Kaggle is you do not already have an account: https://www.kaggle.com/
- If you want to use kaggle API, download your kaggle.json by following instructions here: https://www.kaggle.com/docs/api?utm_me= and sign up to the competition on Kaggle website to accept competition rules.
- Labs will be placed in subdirectories name as
lab-#
where#
is the lab number. There will be 9 labs in total. - Solutions to labs will be placed in
./solutions
as well as on D2L. - Participation marks are awarded for labs. Attend the lab as scheduled and write your name and UCID on google document that will be provided.
./data
is used to store datasets we will be using for the labs. Note that files contained in this directory will not be synced with remote repo.
- Feel free to use google collab instead of local development. You can load the notebook directly into collab and load the datasets through the GUI or with API calls, but you'll need to authenticate Kaggle on the collab instance if you want to use API.