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SETUP_COLAB.md

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Google Colab Setup

During this tutorial we will be live-coding using Jupyter Notebooks hosted on Google Colab. This is a free cloud-based service that supports access to graphics processing units (GPUs).

Storage space for data, code and output files is provided by linking to your Google Drive. Please setup (or login to) a Google account before taking the steps below. NB: you must be logged into only one Google account in your current browser session. Make sure that you have enough space on your Google Drive (check at http://drive.google.com).

Step 1: Link Colab to your Google Drive

  • Go to the URL https://colab.research.google.com
  • Log in to your Google account.
  • Click on the New Python 3 notebook from the File menu to create a new notebook.
  • Add a code cell to the notebook with the following code:
from google.colab import drive
drive.mount('/content/gdrive')
  • Run the code cell to connect to your Google Drive.
  • Enter your authorization code from the provided link.

Step 2: Download the materials for this tutorial to your Google Drive

Add another code cell to the notebook and run the following lines of code:

cd gdrive/'My Drive'
!git clone https://github.com/X-sensing/Intro_ML_Xsensing.git

This clones (downloads) the course materials from the GitHub online repository.

NOTE: steps 1 & 2 only need to be done once - when you start for the first time.

Step 3: Start a Jupiter Notebook and reconnect to your Google Drive.

All coding examples in this tutorial are done within a Jupyter Notebook. You can think of these as being similar to a spreadsheet with a single column of cells, each of which contains a block of code. You execute these blocks in sequence.

Each topic within the tutorial is contained in a dedicated notebook. When starting a new Notebook session you will need to relink to your Google Drive:

  • Go to the URL https://www.google.com/drive/.
  • Log in to your Google account (if not already logged in).
  • Check you are in the correct Google account (top right corner of browser).
  • Open the directory where you downloaded the course content.
  • Open a notebook, e.g. 03_classification.ipynb, with Colaboratory.
  • Add a code cell at the top of the notebook with the code:
from google.colab import drive
drive.mount('/content/gdrive')
import os
os.chdir('./gdrive/My Drive/Intro_ML_Workshop/')

  • Enter your authorization code from the provided link again.

  • Run the code cell. Now, the notebook is ready for your experiment.