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SETUP.md

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Setup

We will use Jupyter Notebooks for all exercises. There are several ways to set up a Jupyter environment for running the exercises:

Option 1. CSC’s Notebooks

The default option. CSC’s Notebooks (https://notebooks.csc.fi) provides easy-to-use environments for working with data and programming. You can access everything via your web browser and CSC cloud environment computes on the background.

  • Point your browser to https://notebooks.csc.fi
  • Login using Haka or a CSC account (or using Alternate login and a separate username and password)
  • Find Course Practical Machine Learning 2019 and click “Launch new”
  • Wait until the “Open in browser” link appears, then click on it
  • The JupyterLab notebook dashboard should appear
  • If you are not familiar with Jupyter, take a moment to get to know the interface
    • open a new notebook using the Launcher (click on Notebook: Python 3)
    • write some Python code to a Jupyter cell
    • execute the cell with shift-enter
  • Exercise 1: Navigate to python-introduction/notebooks/examples and go through the notebooks 1 - Introduction.ipynb and 7 - NumPy.ipynb.
  • Other exercises: Navigate to intro-to-ml where all the exercise notebooks are located

Option 2. Running Jupyter on your laptop

If you have a laptop that has Jupyter, Scikit-learn, and all the other necessary Python packages installed, it is possible to use it. Clone the Git repositories used on this course

git clone https://github.com/csc-training/python-introduction
git clone https://github.com/csc-training/intro-to-ml

and launch Jupyter.