nansencenter/ml-crashcourse

Tutorial of machine learning for emulating a Lorenz model

pdf of the slides: slides

Instruction for working on a cloud (recommended)

Run the tutorial in a cloud computing provider (require Google login):

• Lorenz 63 tutorial:
• Lorenz 96 tutorial:

Instructions for working locally

You can also run this notebook on your own (Linux/Windows/Mac) computer. This is a bit snappier than running them online.

1. Prerequisite: Python>=3.7.
   If you're not a python expert:
   1a. Install Python via Anaconda.
   1b. Use the Anaconda terminal to run the commands below.
   1c. (Optional) Create & activate a new Python environment. If the installation (below) fails, try doing step 1c first.

2. Install:
   Run these commands in the terminal (excluding the $ sign):
   $ git clone https://github.com/nansencenter/ml-crashcourse.git
$ pip install -r ml-crashcourse/requirements.txt

3. Launch the Jupyter notebooks:
   $ jupyter-notebook
   This will open up a page in your web browser that is a file navigator.
   Enter the folder ml-crashcourse, and click on the tutorial L63_demonstrator.ipynb or L96_demonstrator.ipynb