Machine Learning with Jupyter using Scala, Spark and Python: The Setup

Jupyter notebook is a tool that helps you create readable ML code and results, as you can keep code, images, comments, formulae and plots together. It helps you keep the code, comments(in markdown) and results(as graphs/plots) together in a very presentable way. It also provides line by line code execution like scala/nodejs repls do. And autocompletion is thrown into the goodness mix as well. The presentability and ease of use of notebooks make them an ideal environment for learning a new language as well as Machine learning concepts.