Intro to machine learning with scikit-learn

This repository includes a Dockerfile for building a container with python3 installed. The container it starts will automatically run any code in app.py. A couple of example usages of machine learning algorithms are provided in this repo, to run them:

cp decision-tree-example.py app.py
docker build -t learn . && docker run --rm learn

(replace decision-tree-example.py with the real name of the file you want to run if it's not that e.g. kmeans-example.py)

I've included some example code showing use of a decision tree (used for classification tasks) and kmeans clustering (used for clustering tasks).