Lecture on Developing a (Basic) Machine Learning Workflow
The easiest way to render and follow these slides is to have a working version of python and jupyter installed. A quick path towards this end is to install the miniconda python package manager on your local machine.
Then create a conda virtual environment with the following command:
conda create --name NU_DSN python=3.6 numpy matplotlib seaborn scikit-learn pandas
And once that is completed, activate the environment with:
source activate NU_DSN