This repository contains code for projects of MSc. course Machine Learning 1.
- Installing conda Go to https://conda.io/miniconda.html and use the provided 64bit python 3.7 installer for your operating system.
- Setting up the environment Download the environment.yml file, and create an environment with the command:
conda env create -f path/to/environment.yml
Removing the environment if something goes wrong
conda remove --name ml1labs --all
- Activating / Deactivating the environment
source activate ml1labs
source deactivate ml1labs
- Starting the server: From the folder where you have the files stored:
jupyter notebook
You will see a bunch of messages, along with the following:
Copy/paste this URL into your browser when you connect for the first time,
to login with a token:
http://localhost:8888/?token=asdf234asdfasdfsdaf
Open your browser and go the the link shown in your terminal. You can now navigate to the lab notebook from there on.