Software Packages Required
You will need to have an installation of Python 3 with the matplotlib, pandas, numpy and opencv packages. If you can’t successfully install opencv, you may use Goolge Colab on day 2 of the workshop.
The Anaconda Distribution includes all of these except opencv by default.
Installing OpenCV with Anaconda
- Load the Anaconda Navigator
- Click on “Environments” on the left hand side.
- Choose “Not Installed” from the pull down menu next to the channels button.
- Type “opencv” into the search box.
- Tick the box next to the opencv package and then click apply.
Installing from the Anaconda command line
From the Anaconda terminal run the command conda install -c conda-forge opencv
Download the code and data
-
Please create a directory called IntroML located on your desktop. In this directory, create a subfolder called data (i.e.,
/Users/username/Desktop/IntroML/data) - Download the following python scripts and place them in the IntroML directory located on your Desktop (e.g.,
/Users/username/Desktop/IntroML/regression_helper_functions.py) - Download the the following files and place them in the data subfolder you just created (e.g.,
/Users/username/Desktop/IntroML/data/gapminder-life-expectancy.csv):
If you are using a Mac or Linux system the following commands will download this:
mkdir data
cd data
wget https://scw-aberystwyth.github.io/machine-learning-novice/data/worldbank-gdp.csv
wget https://scw-aberystwyth.github.io/machine-learning-novice/data/worldbank-gdp-outliers.csv
wget https://scw-aberystwyth.github.io/machine-learning-novice/data/gapminder-life-expectancy.csv